Google Generative AI Leader Exam Dumps

Google Generative AI Leader exam dumps and real questions with a fully interactive online test engine, powered by an AI Tutor to explain every question and answer. You can also download the latest Generative AI Leader dumps in PDF. Ready for more? Request full access to all the latest Generative AI Leader dumps and questions instantly.

Free Google Generative AI Leader Real Questions

Generative AI Leader Exam Info
Vendor Google
Exam Code Generative AI Leader
Exam Name Generative AI Leader
Total Questions 99 Real Questions
Last Updated 07 Nov 2026
Passing Rate 93.3%
Exam Audience Google Professionals
Premium Downloads 6963 times
Go To Generative AI Leader Questions

Google Generative AI Leader Exam Dumps - Real Questions, Study Tips, and More

The Generative AI Leader certification is designed for professionals who need to demonstrate expertise in deploying and managing generative AI solutions within a Google Cloud environment. This certification validates that a candidate possesses the necessary skills to lead AI initiatives, understand the underlying technology, and implement business strategies that leverage these tools effectively. Organizations hiring for roles such as AI project managers, cloud architects, or technical leads often look for this credential to ensure their teams can navigate the complexities of modern AI adoption. By utilizing Google Generative AI Leader exam dumps, candidates can prepare for the specific challenges and technical requirements they will face during the actual assessment. This certification serves as a benchmark for competency, ensuring that certified individuals can bridge the gap between technical AI capabilities and practical business outcomes. It is a vital step for anyone looking to solidify their standing as a leader in the field of artificial intelligence.

Professionals who pursue this certification are often tasked with overseeing the lifecycle of AI projects, from initial conceptualization to final deployment. This requires a deep understanding of how Google Cloud services integrate with generative models to solve real-world business problems. The certification process ensures that candidates are not just familiar with the theory but are also capable of making informed decisions regarding model selection, ethical considerations, and scalability. By engaging with our Generative AI Leader exam dumps, you are accessing a resource that helps you align your technical knowledge with the rigorous standards expected by Google. This preparation is essential for those who want to demonstrate their ability to drive innovation and efficiency within their organizations.

What the Generative AI Leader Exam Covers

The exam evaluates a candidate's comprehensive understanding of generative AI, ranging from foundational concepts to the strategic implementation of solutions. It tests the ability to apply technical knowledge to real-world scenarios, ensuring that leaders can make informed decisions about model selection, deployment, and optimization. By covering these specific domains, the exam ensures that certified professionals are well-equipped to handle the multifaceted nature of AI leadership roles.

  • Fundamentals of generative AI - This domain covers the core concepts and underlying principles of generative models, ensuring candidates understand how these systems function at a basic level.
  • Google Cloud's generative AI offerings - This section focuses on the specific tools, services, and platforms provided by Google Cloud that enable the development and deployment of generative AI solutions.
  • Techniques to improve gen AI model output - This area explores the methodologies and best practices for refining and enhancing the performance of generative models to meet specific requirements.
  • Business strategies for a successful gen AI solution - This domain addresses the strategic aspects of AI implementation, including how to align technical solutions with business goals and organizational needs.

The section on business strategies for a successful gen AI solution often proves to be the most challenging for candidates because it requires shifting from a purely technical mindset to a strategic one. While understanding the technical fundamentals is essential, applying those concepts to solve specific business problems requires a deeper level of critical thinking. Candidates should allocate extra study time to this area, as it frequently appears in the Generative AI Leader exam questions that test your ability to align AI capabilities with organizational goals. Mastering this domain ensures you can articulate the value of AI projects to stakeholders while maintaining technical integrity. By focusing on these Generative AI Leader exam questions, you can develop the strategic foresight needed to lead successful AI initiatives.

Furthermore, the technical domains regarding model output and Google Cloud offerings require a practical understanding of how these tools interact. It is not enough to know the definitions of these services, as the exam will test your ability to select the right tool for a given scenario. Candidates who spend time analyzing how different techniques impact model performance will find themselves better prepared for the complex, multi-step questions that characterize this certification. We recommend using our practice questions to simulate these scenarios, as this will help you build the necessary intuition for solving problems under pressure. This approach ensures that you are not just memorizing facts but are developing the analytical skills required for the role.

Are These Real Generative AI Leader Exam Questions?

Our platform provides access to Generative AI Leader real exam questions that are sourced directly from candidates who have recently completed the certification process. These individuals share their experiences and the types of challenges they encountered, allowing us to compile a set of practice questions that closely mirror the actual exam environment. Because these materials are community-verified, they represent the most accurate reflection of what you will see on test day. We believe that using these exam dumps is the most effective way to prepare because they are built on the collective knowledge of those who have already succeeded. By focusing on these real questions, you can familiarize yourself with the question structure and the logic required to select the correct answers.

The accuracy of our resources is maintained through continuous community feedback and updates. When a candidate encounters a question that has been updated or modified by the vendor, they can flag it, and our community works to ensure the information remains current. Unlike a static Generative AI Leader dumps PDF, which can quickly become obsolete as exam content changes, our platform evolves alongside the certification itself. This dynamic approach ensures that you are always studying the most relevant material. Relying on community-maintained content provides a significant advantage, as it captures the nuances of the exam that static study guides often miss. This commitment to accuracy is what makes our platform a trusted resource for certification candidates.

We take great care to ensure that our content remains legitimate and helpful. Our community-driven model relies on the integrity of our users, who contribute their knowledge to help others succeed. By framing our Generative AI Leader dumps as a collaborative study tool, we foster an environment where candidates can support each other in their professional development. This community-verified approach ensures that the questions you are practicing with are relevant and reflective of the current exam standards. We are dedicated to providing a high-quality study experience that respects the certification process while giving you the best possible chance of passing.

What Makes These Generative AI Leader Dumps Different

What sets our Generative AI Leader dumps apart is the integration of an AI Tutor feature that accompanies every question. While many platforms simply provide a list of answers, we believe that understanding the reasoning behind each choice is critical for long-term success. Our free exam dumps include detailed explanations that break down the concepts, helping you understand why a specific answer is correct and why others are incorrect. This approach transforms your study session from simple memorization into an active learning process. By using the AI Tutor, you gain insights into the underlying principles of Google Cloud AI offerings, which is essential for passing the certification exam.

Memorizing answers without understanding the underlying concepts is a common pitfall that often leads to failure on the actual exam. The Generative AI Leader certification includes complex, scenario-based questions that require you to apply your knowledge to unique situations rather than recalling facts from memory. Our platform encourages you to engage with the material deeply, ensuring that you can handle variations of questions that you might encounter on test day. By focusing on the why rather than just the what, you build the confidence and competence needed to succeed. This method of preparation is far more effective than relying on static resources that do not offer context or explanation.

Our platform is designed to be a comprehensive study companion that goes beyond simple question-and-answer formats. We understand that the path to certification is a journey, and we provide the tools necessary to navigate that journey effectively. By combining community-sourced questions with expert-level explanations, we create a learning environment that is both challenging and supportive. Whether you are a beginner or an experienced professional, our Generative AI Leader exam dumps provide the depth and clarity you need to master the material. We are committed to helping you achieve your certification goals through high-quality, verified, and accessible study resources.

How to Use These Generative AI Leader Exam Dumps Effectively

To get the most out of these Generative AI Leader exam dumps, you should approach your study sessions with a structured plan. Start by reviewing the core topics and then use the practice questions to identify your strengths and weaknesses. Do not simply read through the questions; instead, attempt to answer them on your own before checking the provided explanations. If you find yourself struggling with a particular topic, use the AI Tutor to clarify the concepts and then revisit the question to ensure you have mastered the material. Integrating hands-on practice in a Google Cloud sandbox environment alongside these questions will further solidify your understanding of how these tools function in a real-world setting.

A common mistake candidates make is rushing through the questions without taking the time to analyze the reasoning provided. It is important to treat each question as a learning opportunity rather than just a test of your current knowledge. If you encounter a question that you find difficult, take the time to research the topic further and understand the context. Time management is also a critical skill for the actual certification exam, so practicing with these questions under timed conditions can help you build the speed and accuracy required. By avoiding the temptation to memorize answers and instead focusing on comprehension, you will be much better prepared for the exam.

Consistency is key when preparing for a certification exam. We recommend setting aside dedicated time each day to work through a set number of questions and review the explanations. This spaced repetition approach helps reinforce your memory and ensures that you retain the information over the long term. Additionally, participating in community discussions can provide valuable insights and different perspectives on complex topics. By engaging with the material in this way, you are not just preparing for an exam, but you are also building a solid foundation of knowledge that will serve you throughout your career.

What to Expect on Generative AI Leader Exam Day

On the day of your Generative AI Leader exam, you should be prepared for a rigorous assessment that tests both your theoretical knowledge and your practical application skills. The exam typically consists of multiple-choice and scenario-based questions that require you to select the best solution for a given business or technical problem. You will likely be tested on your ability to navigate Google Cloud's generative AI offerings and apply them to specific use cases. The exam is administered through a secure testing environment, which ensures the integrity of the certification process. Being familiar with the format and the types of questions you will face is essential for reducing test anxiety and performing at your best.

During the exam, you will need to manage your time effectively to ensure that you can answer all the questions within the allotted period. Some questions may be more complex than others, requiring you to carefully read the scenario and evaluate the options before making a decision. It is important to stay calm and focused, even if you encounter a question that you are not immediately sure about. Remember that your preparation with our Generative AI Leader exam dumps has provided you with the tools to analyze these scenarios logically. Trust in your study process and apply the knowledge you have gained to select the most appropriate answers.

After completing the exam, you will receive your results, which will indicate whether you have met the passing standard. Regardless of the outcome, the process of preparing for and taking the exam is a valuable learning experience. If you pass, you will have earned a respected credential that validates your expertise in the field. If you do not pass on your first attempt, use the feedback provided to identify areas where you need further study and continue to use our resources to improve. The path to certification is often a process of continuous improvement, and every attempt brings you closer to your goal.

Who Should Use These Generative AI Leader Dumps

These Generative AI Leader dumps are ideal for IT professionals, cloud architects, and project managers who are looking to validate their expertise in generative AI. Whether you are aiming to advance your career, take on new responsibilities, or simply stay competitive in the rapidly changing tech landscape, this certification exam is a valuable asset. By using our real questions, you can ensure that you are fully prepared for the challenges of the exam and the demands of the role. The knowledge you gain while preparing for this certification will have a direct impact on your ability to lead AI projects and drive business value.

To maximize your results, we recommend using these resources as part of a comprehensive study strategy. Do not rely solely on the dumps; instead, use them to reinforce your learning and identify areas where you need further study. Engage with the community discussions, ask questions, and use the AI Tutor explanations to deepen your understanding of complex topics. By consistently revisiting the questions you got wrong, you can turn your weaknesses into strengths before you sit for the actual exam. Browse the Generative AI Leader exam dumps above, work through the real questions, and use the AI Tutor explanations to build the understanding you need to pass.

Updated on: 04 May, 2026

Share your comments for Google Generative AI Leader exam with other users:

A
AI Tutor Explanation
5/14/2026 11:59:47 AM

Question 12:
Here’s why Question 12’s correct choices are C and D.

  • C (Azure DevOps, build and upload to asset library)
- What it means: Create a deployable package from a branch in Azure DevOps, then use an LCS asset upload step to push that package into the Dynamics 365 F&O asset library. - Why it’s valid: This is a standard path to prepare and publish a deployable package to LCS for deployment.
  • D (Visual Studio, create deployment package and upload)
- What it means: Use Visual Studio to generate a Dynamics 365 deployment package, then upload that package to the LCS asset library. - Why it’s valid: Visual Studio can produce the deployable package, which is what LCS expects in the asset library.
Why A and B are not correct:
  • A: Visual Studio export the project and upload to asset library
- You don’t export a project to the asset library; you export a deployable package and upload that.
  • B: Azure DevOps, queue a build and upload the model to the asset library
- The asset library stores deployable packages, not models. You upload a package, not a model.

A
AI Tutor Explanation
5/14/2026 11:49:11 AM

Question 3:
Question 3 asks for two valid ways to meet the purchase order creation validation (warn if the vendor is on the exclusion list for the customer/product and block/alert accordingly).
Correct answers: C and D

  • C: In Application Explorer, create a form extension and implement validation.
- Extend the Purchase Order creation form and add validation logic (e.g., before save/submit) to check VendExclusions for the customer/item and show a warning or block the PO as needed.
  • D: Implement Chain of Command (CoC) and method wrapping by creating a form extension class.
- Use CoC to wrap the target PO creation method, perform the exclusion check after calling super(), and enforce the rule (warning or prevent creation).
Why not A or B?
  • A (class with a form data source event handler) is not the standard pattern for this UI-level validation scenario and is less direct for enforcing creation-time behavior.
  • B (table extension with validation) cannot sufficiently enforce the UI-level workflow or trigger user-facing warnings during PO creation.

So, the two valid techniques are C and D, reflecting the recommended form-extension patterns: direct form validation and CoC-based method wrapping.

A
AI Tutor Explanation
5/14/2026 11:42:28 AM

Question 12:
Here’s how to understand question 12.

  • What the question asks: Two valid ways to prepare and deploy a software deployable package to a test environment (via the asset library in LCS).

  • The correct options: C and D.

- C: In Azure DevOps, queue a build from the corresponding branch to produce a deployable package, then upload that package to the LCS asset library. This uses a release/build workflow and requires an LCS connection set up in Azure DevOps.
- D: In Visual Studio, create a Dynamics 365 deployment package using the dev tools, then upload that deployable package to the LCS asset library. This is the Visual Studio–based path to generate and publish a deployable package.
  • Why A and B are not correct:

- A: Exporting the project from Visual Studio and uploading the project itself to the asset library isn’t the correct artifact; the asset library expects a deployable package, not a raw project export.
- B: Queuing a build and “uploading the model” to the asset library isn’t the standard deployable package workflow; the target artifact should be a deployable package, not a model file.
Key concept: Deployable packages are published to the LCS Asset Library, and you can create them either from Visual Studio or from Azure DevOps as part of a build/release pipeline.

A
AI Tutor Explanation
5/13/2026 11:23:34 PM

Question 6:
Here’s how question 6 works.
Key constraint: All new and extended objects must be in an existing model named FinanceExt. Creating a brand-new model is not allowed.
Why the two correct options work:

  • B. Overlay the existing FinanceExt model and populate the solution definition.
- This keeps all changes inside FinanceExt by overlaying the base model with your solution details.
  • C. Extend the existing FinanceExt model and populate the project model definition.
- This uses the extension approach to add your changes while still residing in FinanceExt, organized via the project model definition.
Why the other options are not correct:
  • A. Create a new model that extends the existing FinanceExt model.
- Not allowed, since no new models may be created.
  • D. Modify DefaultModelForNewProject and name the model FinanceExt.
- The goal is to place changes in FinanceExt, not to name or create a new model via config; this doesn’t describe a valid way to satisfy the constraint.
In short: use B or C; both keep changes inside the existing FinanceExt model.

A
AI Tutor Explanation
5/13/2026 11:00:29 PM

Question 2:
I don’t have the text for Question 2 here. Please paste the exact Question 2 (including all answer choices) or describe the topic it covers.
Once I have it, I’ll:

  • Identify the exam objective it targets.
  • Break down the stem and each option.
  • Use elimination and key concepts to justify why options are correct or incorrect.
  • Give the final answer with a concise explanation of the reasoning.

If there’s an image in Question 2, describe it or transcribe any text shown.

A
AI Tutor Explanation
5/10/2026 12:51:57 AM

Which statement is true about using default environment variables? The environment variables can be read in workflows using the ENV: variable_name syntax. The environment variables created should be prefixed with GITHUB_ to ensure they can be accessed in workflows The environment variables can be set in the defaults: sections of the workflow The GITHUB_WORKSPACE environment variable should be used to access files from within the runner.
Correct answer: The statement "The GITHUB_WORKSPACE environment variable should be used to access files from within the runner." is true.
Why the others are false:

  • ENV: variable_name syntax is not how you read env vars in workflows. Use ${{ env.VARIABLE }} in expressions or $VARIABLE in a shell.
  • Environment variables don’t need a GITHUB_ prefix. Custom vars can have any name; GITHUB_ is only for built-in, predefined vars.
  • defaults: cannot set environment variables. It configures defaults for run steps (like shell or working-directory), not env vars.

Extra tip:
  • GITHUB_WORKSPACE (or ${{ github.workspace }}) is the root path on the runner where the repository is checked out. Use it to access files, e.g., $GITHUB_WORKSPACE/... or ${{ github.workspace }}/....

A
AI Tutor Explanation
5/7/2026 11:34:48 PM

As an administrator for this subscription, you have been tasked with recommending a solution that prohibits users from copying corporate information from managed applications installed on unmanaged devices. Which of the following should you recommend? Windows Virtual Desktop. Microsoft Intune. Windows AutoPilot. Azure AD Application Proxy.

  • Microsoft Intune

Reason: Intune can enforce app protection policies (MAM) on managed apps, even on unmanaged devices, to prevent data leakage (e.g., restricting copy/paste, saving to non-approved apps, etc.). The other options don’t address data protection within apps on unmanaged devices.

A
AI Tutor Explanation
5/4/2026 2:43:10 AM

Question 34:

  • Question 34 asks: Which role(s) has the capability to create Policies? Choose two.
  • Likely correct roles: Compliance Manager and Compliance admin (A and B). These roles typically have policy governance rights to create and manage policies.
  • Why not the others: Compliance User is usually a limited user, not allowed to create policies. Risk Manager focuses on risks, not policy creation in standard setups.
  • Note on the provided key: The answer shown is “C” (Compliance User), which conflicts with “Choose two.” This is probably a key error. In practice, verify against your instance’s ACLs or official docs.
  • Quick check tip: In ServiceNow, review the ACLs and role permissions for the Policy records to see which roles can create policies.

A
AI Tutor Explanation
4/29/2026 11:59:58 PM

function of appnav in sdwan

  • AppNav (Application Navigation) is the Cisco SD-WAN feature that provides application-level visibility and control.
  • It maintains a catalog of applications (AppIDs) with attributes (ports/protocols, categories) and classifies traffic accordingly.
  • It allows policy authors to reference apps by name in policies, enabling application-aware routing, QoS, and service chaining based on the app’s requirements.
  • The SD-WAN fabric uses AppNav data to steer traffic along the best path, improving user experience for critical apps while optimizing WAN usage.

A
AI Tutor Explanation
4/29/2026 5:25:25 AM

Question 1:

  • Correct answer: C. Extract the hardware ID information of each computer to a CSV file and upload the file from the Microsoft Intune admin center.

  • Why this is correct

A
AI Tutor Explanation
4/29/2026 5:23:14 AM

Question 5:

  • Correct answer: A. User4 and User1 only

  • Why this is correct:
- The Automatic Enrollment setting in Intune has MDM user scope: GroupA. Only users in GroupA can enroll devices via MDM auto-enrollment. - Device6 will be enrolled via Windows Autopilot and Intune, so enrollment is allowed only for users in GroupA. - Based on the group memberships in the scenario, User4 and User1 are in GroupA, while User2 and User3 are not. Therefore only User4 and User1 can enroll Device6.
  • Quick tip for the exam:
- Remember: MDM user scope determines who can auto-enroll devices; MAM scope controls app protection enrollment. When a new Autopilot device is enrolled, the signing-in user must be in the MDM scope.

A
AI Tutor Explanation
4/29/2026 5:17:10 AM

Why this is correct

  • Correct answer: C. Extract the hardware ID information of each computer to a CSV file and upload the file from the Microsoft Intune admin center.

  • Why this is correct:
- Windows Autopilot requires devices to be registered by their hardware IDs (hash) before Autopilot can deploy Windows 10 Enterprise. - Collect the hardware IDs from the new Phoenix machines, save them in a CSV, and upload that CSV in the Intune/Windows Autopilot area. This maps each device to an Autopilot deployment profile. - After registration, you can assign Autopilot profiles (Windows 10 Enterprise, etc.). Other options (serial number CSV, generalizing, or Mobility settings) are not the initial Autopilot registration steps.

A
AI Tutor Explanation
4/25/2026 1:53:46 PM

Question 7:

  • Correct answer: B — A risk score is computed based on the number of remediations needed compared to the industry peer average.

Explanation:
  • Risk360 uses a remediation-based score. It benchmarks how many actions are required to fix issues against peers, giving a relative risk posture.
  • Why not the others:
- A: Not just total risk events by location. - C: Time to mitigate isn’t the primary scoring method. - D: Not a four-stage breach scoring approach.
Note: The page text shows a mismatch (it lists D as the answer), but the study guide describes the remediation-based scoring (B) as the correct concept.

A
AI Tutor Explanation
4/25/2026 1:42:20 PM

Question 104:

  • Correct answer: D) Multi-Terabyte (TB) Range

  • Brief explanation:
- clustering keys organize data into micro-partitions to improve pruning when queries filter on those columns. - The performance benefit is most significant for very large tables; for small tables the overhead of maintaining clustering outweighs gains. - Therefore, as a best practice, define clustering keys on tables at the TB scale.

C
Community Helper
4/25/2026 2:03:10 AM

Q23: Fabric Admin is correct. Because Domain admin cannot create domains. Only Fabric Admin can among the given options. Q51: Wrapping @pipeline.parameter.param1 inside {} will return a string. But question requires the expression to return Int, so correct answer should be @pipeline.parameter.param1 (no {})

A
AI Tutor Explanation
4/23/2026 3:07:03 PM

Question 62:

  • Correct answer: D (per the page)

  • Note: The explanation text on the page describes option B (use ZDX score and Analyze Score to trigger the Y Engine analysis), indicating a mismatch between the stated answer and the rationale.

  • Key concept: For fast root-cause analysis, leverage telemetry and auto-correlated insights:
- Use the user’s ZDX score for AWS and run Analyze Score to activate the Y Engine, which correlates metrics across network, client, and application to pinpoint the issue quickly.
  • Why the other options are less effective:
- A: Only checks for outages; doesn’t provide actionable root-cause analysis. - C: Deep Trace helps visibility but is manual and time-consuming. - D: Packet capture is invasive and slow; not the quickest path to root cause.

A
AI Tutor Explanation
4/23/2026 12:26:21 PM

Question 32:

  • Answer: A (2.4GHz)

  • Why: Lower-frequency signals have longer wavelengths and experience less attenuation when passing through walls and obstacles. Higher frequencies (5GHz, 6GHz) are more easily blocked by walls. NFC operates over very short distances and is not meant to penetrate walls. So 2.4 GHz best penetrates physical objects like walls.

A
AI Tutor Explanation
4/21/2026 8:48:36 AM

Question 3:

  • False is the correct answer (Option B).

Why:
  • In Snowflake, a database is a metadata object that exists within a single Snowflake account. Accounts are isolated—there isn’t one database that lives in multiple accounts.
  • You can access data across accounts via data sharing or database replication, but these create separate database objects in the other accounts (e.g., a database in the consumer account created from a share), not a single shared database across accounts.

So a single database cannot exist in more than one Snowflake account.

A
Anonymous User
4/16/2026 10:54:18 AM

Question 1:

  • Correct answer: E — date = sys.argv[1]
  • Why this is correct:
- When a Databricks Job passes parameters to a notebook, those parameters are supplied to the notebook's Python process as command-line arguments. The first argument after the script name is sys.argv[1], so date = sys.argv[1] captures the passed date value directly.
  • How it compares to other options:
- date = spark.conf.get("date") reads from Spark config, not from job parameters. - input() waits for user input at runtime, which isn’t how job parameters are provided. - date = dbutils.notebooks.getParam("date") would work if the notebook were invoked via dbutils.notebook.run with parameters, not

A
Anonymous User
4/15/2026 4:42:07 AM

Question 528:

  • Correct answer: NSG flow logs for NSG1 (Option B)

  • Why:
- Traffic Analytics uses NSG flow logs to analyze traffic patterns. You must have NSG flow logs enabled for the NSGs you want to monitor. - An Azure Log Analytics workspace is also required to store and query the traffic data. - Network Watcher must be available in the subscription for traffic analytics to function.
  • What to configure (brief steps):
- Ensure Network Watcher is enabled in the East US region (for the subscription/region). - Enable NSG flow logs on NSG1. - Ensure a Log Analytics workspace exists and is accessible (read/write) so Traffic Analytics can store and query logs.
  • Why other options aren’t correct:
- “Diagnostic settings for VM1” or “Diagnostic settings for NSG1” alone don’t guarantee flow logs are captured and sent to Log Analytics, which Traffic Analytics relies on. - “Insights for VM1” is not how Traffic Analytics collects traffic data.

A
Anonymous User
4/15/2026 2:43:53 AM

Question 23:
The correct answer is Domain admin (option B), not Fabric admin.

  • Domain admin provides domain-level management: create domains/subdomains and assign workspaces within those domains, which matches the tasks while following least privilege.
  • Fabric admin is global-level access and is more privileges than needed for this scenario (it would grant broader control across the Fabric environment).

A
Anonymous User
4/14/2026 12:31:34 PM

Question 2:
For question 2, the key concept is the Longest Prefix Match. Routers pick the route whose subnet mask is the most specific (largest prefix length) that still matches the destination IP.
From the options:

  • A) 10.10.10.0/28 ? 10.10.10.0–10.10.10.15
  • B) 10.10.13.0/25 ? 10.10.13.0–10.10.13.127
  • C) 10.10.13.144/28 ? 10.10.13.144–10.10.13.159
  • D) 10.10.13.208/29 ? 10.10.13.208–10.10.13.215

The destination Host A’s IP must fall within 10.10.13.208–10.10.13.215 for the /29 to be the best match. Since /29 is the longest prefix among the matching options, Router1 will use 10.10.13.208/29.
Thus, the correct answer is D.

S
srameh
4/14/2026 10:09:29 AM

Question 3:

  • Correct answer: Phase 4, Post Accreditation

  • Explanation:
- In DITSCAP, the four phases are: - Phase 1: Definition (concept and requirements) - Phase 2: Verification (design and testing) - Phase 3: Validation (fielding and evaluation) - Phase 4: Post Accreditation (ongoing operations and lifecycle management) - The description—continuing operation of an accredited IT system and addressing changing threats throughout its life cycle—fits the Post Accreditation phase, which covers operations, maintenance, monitoring, and reauthorization as threats and environment evolve.

O
onibokun10
4/13/2026 7:50:14 PM

Question 129:
Correct answer: CNAME

  • A CNAME record creates an alias for a domain, so newapplication.comptia.org will resolve to whatever IP address www.comptia.org resolves to. This ensures both names point to the same resource without duplicating the IP.
  • Why not the others:
- SOA defines authoritative information for a zone. - MX specifies mail exchange servers. - NS designates name servers for a zone.
  • Notes: The alias name (newapplication.comptia.org) should not have other records if you use a CNAME for it, and CNAMEs aren’t used for the zone apex (root) domain. This scenario uses a subdomain, so a CNAME is appropriate.

A
Anonymous User
4/13/2026 6:29:58 PM

Question 1:

  • Correct answer: C

  • Why this is best:
- Uses OS Login with IAM, so SSH access is granted via Google accounts rather than distributing per-user SSH keys. - Granting the compute.osAdminLogin role to a Google group gives admin access to all team members in a centralized, auditable way. - Access is auditable: Cloud Audit Logs show who accessed which VM, satisfying the security requirement to determine who accessed a given instance.
  • How it works:
- Enable OS Login on the project/instances (enable-oslogin metadata). - Add the team’s

A
Anonymous User
4/13/2026 1:00:51 PM

Question 2:

  • Answer: D. Azure Advisor

  • Why: To view security-related recommendations for resources in the Compute and Apps area (including App Service Web Apps and Functions), you use Azure Advisor. Advisor surfaces personalized best-practice recommendations across resources, including security, and shows which resources are affected and the severity.

  • Why not the others:
- Azure Log Analytics is for ad-hoc querying of telemetry, not for viewing security recommendations. - Azure Event Hubs is for streaming telemetry data, not for security recommendations.
  • Quick tip: In the portal, navigate to Azure Advisor and check the Security recommendations for App Services to see actionable items and affe

D
Don
4/11/2026 5:36:42 AM

Recommend using AI for Solutions rather the Answer(s) submitted here

M
Mogae Malapela
4/8/2026 6:37:56 AM

This is very interesting

A
Anon
4/6/2026 5:22:54 PM

Are these the same questions you have to pay for in ExamTopics?

L
LRK
3/22/2026 2:38:08 PM

For Question 7 - while the answer description indicates the correct answer, the option no. mentioned is incorrect. Nice and Comprehensive. Thankyou

R
Rian
3/19/2026 9:12:10 AM

This is very good and accurate. Explanation is very helpful even thou some are not 100% right but good enough to pass.

G
Gerrard
3/18/2026 6:58:37 AM

The DP-900 exam can be tricky if you aren't familiar with Microsoft’s specific cloud terminology. I used the practice questions from free-braindumps.com and found them incredibly helpful. The site breaks down core data concepts and Azure services in a way that actually mirrors the real test. As a resutl I passed my exam.

V
Vineet Kumar
3/6/2026 5:26:16 AM

interesting

J
Joe
1/20/2026 8:25:24 AM

Passed this exam 2 days ago. These questions are in the exam. You are safe to use them.