CompTIA Data+ (2025) DA0-002 Dumps in PDF

Free CompTIA DA0-002 Real Questions (page: 9)

Which of the following best describes the reason an analyst would reference a data dictionary versus a source's metadata?

  1. To gather information and resources about the data
  2. To find the content and specific attributes for a dataset
  3. To find a summary of basic information about the dataset
  4. To gather information about the availability of the data

Answer(s): B

Explanation:

This question is part of the Data Concepts and Environments domain, focusing on the purpose of data documentation tools like data dictionaries and metadata. The question compares their uses.

To gather information and resources about the data (Option A): This is too vague and not specific to a data dictionary's purpose.

To find the content and specific attributes for a dataset (Option B): A data dictionary provides detailed definitions of data elements (e.g., field names, types, descriptions), which is more specific than metadata, which often includes broader information like creation date or source.

To find a summary of basic information about the dataset (Option C): This better describes metadata, which provides high-level summaries, not detailed attributes.

To gather information about the availability of the data (Option D): Neither a data dictionary nor metadata typically focuses on data availability.

The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and a data dictionary is specifically used to find detailed attributes of a dataset.


Reference:

CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.



A data analyst is joining two tables with different content and one common field.
Which of the following should the analyst do to most efficiently meet this requirement?

  1. Match the records of the related columns and merge the tables.
  2. Create a cluster to facilitate data integration between the tables.
  3. Explode both tables to identify unique values and reorder the fields in one table.
  4. Append the values of the matching columns and concatenate the other data fields.

Answer(s): A

Explanation:

This question falls under the Data Acquisition and Preparation domain, focusing on combining data from multiple tables. The tables have different content but share a common field, indicating a join operation.

Match the records of the related columns and merge the tables (Option A): This describes a join operation, where records are matched on the common field (e.g., a key like Customer_ID) and the tables are merged, which is the most efficient method.

Create a cluster to facilitate data integration between the tables (Option B): Clustering is a machine learning technique, not a method for joining tables.

Explode both tables to identify unique values and reorder the fields in one table (Option C):
Exploding is used in nested data (e.g., JSON arrays), and this approach is overly complex and unnecessary.

Append the values of the matching columns and concatenate the other data fields (Option D):
Appending stacks tables vertically, and concatenation applies to text, neither of which is appropriate for joining tables with a common field.

The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as joining tables using a common field.


Reference:

CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.



A data analyst pulls a table similar to the following one:

ID Type TypeID Phone

1 Full Time Full Time 1 Mobile

2 Part Time Part Time 2 Work

3 Full Time Full Time 3 Mobile

Which of the following best explains the data issue with TypeID?

  1. Redundancy
  2. Outlier
  3. Missing data
  4. Duplication

Answer(s): A

Explanation:

This question is part of the Data Concepts and Environments domain, focusing on identifying data quality issues. The table shows Type and TypeID columns, where TypeID seems to repeat information from Type with an additional identifier.

Redundancy (Option A): The TypeID column (e.g., "Full Time 1") redundantly includes the Type value ("Full Time") with an extra identifier, which is unnecessary and could be simplified by using a numeric ID instead.

Outlier (Option B): Outliers are data points that deviate significantly, which isn't applicable here.

Missing data (Option C): There are no missing values in the table.

Duplication (Option D): Duplication refers to identical rows, but the rows here are unique; the issue is with the column content.

The DA0-002 Data Concepts and Environments domain includes understanding "data schemas and dimensions," and redundancy is a common data quality issue in schema design.


Reference:

CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 1.0 Data Concepts and Environments.



Which of the following AI types is the best option for time-series forecasting?

  1. Generative AI
  2. Foundational models
  3. Natural language processing
  4. Robotic process automation

Answer(s): B

Explanation:

Foundational models are large AI models trained on vast amounts of data, often exhibiting strong generalization capabilities.
While not specifically architected for time-series, their ability to learn complex patterns could potentially be leveraged for forecasting tasks through fine-tuning or specialized architectures built upon them.

In reality, the best AI types specifically designed for time-series forecasting include:

Recurrent Neural Networks (RNNs), especially LSTMs and GRUs: These architectures are designed to handle sequential data and capture temporal dependencies.

Transformer Networks: Originally developed for NLP, Transformers have shown remarkable success in time-series forecasting due to their ability to capture long-range dependencies.

Traditional statistical models: ARIMA, Exponential Smoothing, and other statistical methods remain powerful and interpretable options for time-series analysis.

Therefore, while "foundational models" have some potential, it's important to understand that they aren't the primary or specifically designed AI type for time-series forecasting.



A data analyst is following up on a recent, company-wide data audit of customer invoice data. Which of the following is the best option for the analyst to use?

  1. PCI DSS
  2. GDPR
  3. ISO
  4. PII

Answer(s): B

Explanation:

This question falls under the Data Governance domain of CompTIA Data+ DA0-002, which includes understanding compliance frameworks for data audits, especially for customer data. The scenario involves a data audit of customer invoice data, which likely contains personal information, making privacy regulations relevant.

PCI DSS (Option A): PCI DSS (Payment Card Industry Data Security Standard) applies specifically to payment card data, not general customer invoice data unless credit card details are involved, which isn't specified.

GDPR (Option B): GDPR (General Data Protection Regulation) is a comprehensive privacy regulation for handling personal data of EU citizens, including customer invoice data, which may contain PII like names and addresses. It's the most relevant for a company-wide data audit.

ISO (Option C): ISO standards (e.g., ISO 27001) relate to information security management but are not specific to customer data privacy audits.

PII (Option D): PII (Personally Identifiable Information) is a concept, not a framework or tool for conducting an audit.
The DA0-002 Data Governance domain emphasizes "identifying PII and data privacy concepts," and GDPR is the most appropriate framework for auditing customer data to ensure compliance with privacy laws.


Reference:

CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.



A database administrator needs to implement security triggers for an organization's user information database.
Which of the following data classifications is the administrator most likely using? (Select two).

  1. Public
  2. Open
  3. Sensitive
  4. Non-Sensitive
  5. Private
  6. Encrypted

Answer(s): C,E

Explanation:

This question pertains to the Data Governance domain, focusing on data classification for security purposes. User information databases typically contain personal data, and security triggers (e.g., alerts for unauthorized access) require classifying data to determine protection levels.

Public (Option A): Public data is openly accessible (e.g., company brochures), not suitable for user information requiring security triggers.

Open (Option B): Open isn't a standard data classification; it's similar to public and not applicable here.

Sensitive (Option C): Sensitive data includes information that, if exposed, could cause harm (e.g., user emails, roles), which fits user information and warrants security triggers.

Non-Sensitive (Option D): Non-sensitive data doesn't require protection, so it wouldn't need security triggers.

Private (Option E): Private data includes PII (e.g., names, addresses) in user information databases, requiring security measures like triggers to protect against breaches.

Encrypted (Option F): Encrypted refers to a data state, not a classification; data can be classified as private or sensitive and then encrypted.

The DA0-002 Data Governance domain includes "data quality control concepts," such as classifying data to apply appropriate security measures. Sensitive and private classifications are most relevant for user information.


Reference:

CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.



A data analyst is analyzing the following dataset:

Transaction Date Quantity Item Item Price

12/12/12 11 USB Cords 9.99

11/11/11 3 Charging Block 8.89

10/10/10 5 Headphones 50.15

Which of the following methods should the analyst use to determine the total cost for each transaction?

  1. Parsing
  2. Scaling
  3. Compressing
  4. Deriving

Answer(s): D

Explanation:

This question falls under the Data Analysis domain, focusing on calculating new values from existing data. The task is to determine the total cost per transaction, which involves multiplying Quantity by Item Price.

Parsing (Option A): Parsing involves breaking down data (e.g., splitting a string), not calculating totals.

Scaling (Option B): Scaling adjusts numerical values to a common range (e.g., normalization), not relevant for calculating totals.

Compressing (Option C): Compressing reduces data size, not applicable to calculating costs.

Deriving (Option D): Deriving involves creating new data fields by performing calculations on existing ones (e.g., Total Cost = Quantity × Item Price), which fits the task.

The DA0-002 Data Analysis domain includes "applying the appropriate descriptive statistical methods," such as deriving new fields through calculations to analyze data.


Reference:

CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 3.0 Data Analysis.



A senior manager needs a report that can be generated and accessed at any time.
Which of the following delivery methods should a data analyst use?

  1. Ad hoc
  2. Dynamic
  3. Self-service
  4. Static

Answer(s): C

Explanation:

This question is part of the Visualization and Reporting domain, focusing on report delivery methods. The requirement for a report that can be generated and accessed at any time suggests user-driven access.

Ad hoc (Option A): Ad hoc reports are one-time, on-demand reports, not designed for anytime access by the user.

Dynamic (Option B): Dynamic reports allow interactivity but don't necessarily imply user-generated access at any time.

Self-service (Option C): Self-service reporting allows users (e.g., the senior manager) to generate and access reports on-demand at any time, fitting the requirement.

Static (Option D): Static reports are fixed and don't allow on-demand generation by the user.

The DA0-002 Visualization and Reporting domain includes "the appropriate visualization in the form of a report" with delivery methods, and self-service is ideal for anytime access.


Reference:

CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 4.0 Visualization and Reporting.



Share your comments for CompTIA DA0-002 exam with other users:

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.

N
NJ
12/24/2025 10:39:07 AM

Helpful to test your preparedness before giving exam

AI Tutor 👋 I’m here to help!