NVIDIA Agentic AI NCP-AAI Dumps in PDF

Free NVIDIA NCP-AAI Real Questions (page: 8)

A development team is building a customer support agent that interacts with users via chat. The agent must reliably fetch information from external databases, handle occasional API failures without crashing, and improve its responses by learning from user feedback over time.

Which of the following tasks is most critical when enhancing an AI agent to handle real-world interactions and improve over time?

  1. Applying a well-structured training process with foundational generative models and prompt engineering
  2. Utilizing internal knowledge bases to support agent responses alongside external APIs
  3. Implementing retry logic for error handling and integrating user feedback loops for iterative improvement
  4. Designing conversation flows that provide consistent responses based on predefined scripts

Answer(s): C

Explanation:

Reliable external interaction requires robust retry mechanisms, while user feedback loops enable continuous learning and refinement. Together, these capabilities allow the agent to function effectively in real-world conditions and improve over time.



What NVIDIA framework can be used to train a better agent?

  1. NeMo-RL
  2. NeMo Guardrails
  3. TensorRT-LLM

Answer(s): A

Explanation:

NeMo-RL provides reinforcement-learning capabilities specifically designed to improve agent behavior through iterative training, enabling performance enhancement beyond inference-only frameworks.



You are evaluating your RAG pipeline. You notice that the LLM-as-a-Judge consistently assigns high similarity scores to responses that contain irrelevant information.

What should you investigate as the most likely potential cause with the least development effort?

  1. The temperature setting used by the LLM during response generation.
  2. The size of the knowledge base used to power the RAG pipeline.
  3. The quality of the synthetic questions used for evaluation.
  4. The prompt used to instruct the LLM-as-a-Judge to assess the response.

Answer(s): D

Explanation:

The evaluative behavior of an LLM-as-a-Judge is primarily governed by its instruction prompt. If the prompt does not clearly define relevance criteria, the model may reward answers containing extra or unrelated details, making prompt refinement the most direct and lowest-effort fix.



You're managing an agentic AI responsible for customer support ticket triage. The agent has been consistently accurate in routing tickets to the appropriate departments. However, a team leader has noticed a significant increase in the number of tickets requiring "escalation" ­ cases where the agent initially misclassified a complex issue as a simple, routine one, leading to delays and frustrated customers.

What would be an appropriate first step in resolving this issue?

  1. Analyzing the agent's decision-making process, focusing on the specific criteria it uses to classify tickets, and identifying potential biases or blind spots.
  2. Adjusting the agent's reward function to prioritize speed of resolution over accuracy, as a first step in analysis of the problem.
  3. Increasing the agent's autonomy, granting it more decision-making power during triage to improve its efficiency.
  4. Conducting a "red-teaming" exercise, having human agents deliberately create complex and ambiguous scenarios to analyze the agent's robustness.

Answer(s): A

Explanation:

Examining the agent's decision criteria reveals where its reasoning fails to distinguish complex cases from simple ones. Identifying these blind spots provides the necessary insight to adjust model logic, training data, or routing thresholds to reduce misclassification and escalation events.



A customer service agentic AI is designed to resolve billing inquiries. It consistently resolves inquiries accurately and efficiently. However, a significant number of customers are reporting frustration due to the agent's tendency to repeatedly ask for the same information (account number, address) during each interaction, even after it's already been provided.

Which evaluation method would be most effective for addressing this issue?

  1. Adjusting the agent's reward function to prioritize speed of resolution over customer satisfaction.
  2. Analyzing the agent's dialogue transcripts to identify patterns in its questioning techniques.
  3. Implementing a "conversational flow" analysis to optimize the order of questions asked during each interaction.
  4. Increasing the agent's processing speed to reduce the time it takes to handle each inquiry and increase customer satisfaction.

Answer(s): B

Explanation:

Reviewing dialogue transcripts reveals where the agent fails to retain or reuse previously provided information.
Identifying these patterns allows targeted improvements to memory handling or state tracking, directly reducing redundant questioning and improving customer experience.



A financial services agentic AI is being used to automate initial customer onboarding. The agent is completing the process efficiently and accurately, but reviews of its conversations reveal it often uses overly formal and complex language that confuses customers.

Which type of evaluation is best suited to address this issue?

  1. Controlled user testing sessions to collect user feedback on the clarity and tone of responses
  2. Compliance review of the agent's access to regulatory guidelines and policy documentation
  3. Continuous user feedback collection, specifically gathering subjective assessments of the agent's communication style
  4. Statistical analysis of the agent's decision-making patterns to detect overly formal and complex response choices

Answer(s): A

Explanation:

Controlled user testing directly measures how real users perceive clarity and tone, revealing whether the agent's communication style aligns with customer expectations and allowing targeted adjustments to improve conversational accessibility.



You're evaluating the performance of a tool-using agent (e.g., one that issues API calls or executes functions). From the list below, what are two important features to evaluate? (Choose two.)

  1. Tool use accuracy
  2. Tokens per second
  3. Tool use rate
  4. Task completion rate

Answer(s): A,D

Explanation:

Evaluating how accurately an agent invokes tools and whether it successfully completes tasks provides a clear picture of its real-world effectiveness. These metrics directly measure whether tool calls are correct and whether they lead to successful outcomes.



When analyzing user feedback patterns to improve a technical documentation agent, which evaluation methods effectively translate feedback into actionable optimization strategies? (Choose two.)

  1. Collect broad user feedback as-is, enabling rapid accumulation of suggestions and diverse perspectives for potential future analysis.
  2. Design iterative feedback loops with version tracking, A/B testing of improvements, and regression monitoring to ensure changes enhance rather than degrade performance
  3. Incorporate user suggestions rapidly to maximize responsiveness and demonstrate continuous adaptation to evolving user needs.
  4. Implement feedback categorization systems grouping issues by type (accuracy, clarity, completeness) with quantitative impact scoring and improvement prioritization matrices

Answer(s): B,D

Explanation:

Iterative feedback loops with structured testing ensure that changes measurably improve performance without introducing regressions. Categorizing feedback into meaningful groups with impact scoring enables systematic prioritization, turning raw user comments into targeted and actionable optimization strategies.



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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.

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

Question 1:

  • Correct answer: Edate = 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

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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.

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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).

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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.

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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.

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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.

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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

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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

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

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

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

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

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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

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

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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.

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

interesting

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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.

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

Helpful to test your preparedness before giving exam

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Ashwini
12/17/2025 8:24:45 AM

Really helped

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Jagadesh
12/16/2025 9:57:10 AM

Good explanation

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shobha
11/29/2025 2:19:59 AM

very helpful

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Pandithurai
11/12/2025 12:16:21 PM

Question 1, Ans is - Developer,Standard,Professional Direct and Premier

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Einstein
11/8/2025 4:13:37 AM

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David
10/31/2025 4:06:16 PM

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Thor
10/21/2025 5:16:29 AM

Anyone used this dump recently?

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Vladimir
9/25/2025 9:11:14 AM

173 question is A not D

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khaos
9/21/2025 7:07:26 AM

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Katiso Lehasa
9/15/2025 11:21:52 PM

Thanks for the practice questions they helped me a lot.

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Einstein
9/2/2025 7:42:00 PM

Passed this exam today. All questions are valid and this is not something you can find in ChatGPT.

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vito
8/22/2025 4:16:51 AM

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Matt
7/31/2025 11:44:40 PM

Great questions.

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OLERATO
7/1/2025 5:44:14 AM

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Adekunle willaims
6/9/2025 7:37:29 AM

How reliable and relevant are these questions?? also i can see the last update here was January and definitely new questions would have emerged.

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Alex
5/24/2025 12:54:15 AM

Can I trust to this source?

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