A company wants to use Amazon Q Business for its data. The company needs to ensure the security and privacy of the data.
Which combination of steps will meet these requirements? (Choose two.)
A. Enable AWS Key Management Service (AWS KMS) keys for the Amazon Q Business Enterprise index.
B. Set up cross-account access to the Amazon Q index.
C. Configure Amazon Inspector for authentication.
D. Allow public access to the Amazon Q index.
E. Configure AWS Identity and Access Management (IAM) for authentication.
Show Answer
Correct Answer: A, E
Explanation: To secure and protect data in Amazon Q Business, encryption and access control are required. Enabling AWS KMS keys provides encryption at rest for the Amazon Q Business Enterprise index, protecting sensitive data. Configuring AWS IAM enables proper authentication and authorization, ensuring that only approved users and roles can access the data. The other options either reduce security or are not relevant to Amazon Q Business authentication.
Question 11
A company is using a foundation model (FM) to generate creative marketing slogans for various products. The company wants to reuse a standard template with common instructions when generating slogans for different products. However, the company needs to add short descriptions for each product.
Which Amazon Bedrock solution will meet these requirements?
A. Prompt management
B. Knowledge Bases
C. Model evaluation
D. Cross-region inference
Show Answer
Correct Answer: A
Explanation: Prompt management in Amazon Bedrock is designed to create, store, and reuse prompt templates with fixed instructions while allowing dynamic variables (such as short product descriptions) to be inserted at runtime. This directly matches the requirement to reuse a standard template and customize it per product. Knowledge Bases are for retrieval-augmented generation, model evaluation is for benchmarking models, and cross-region inference is for availability and latency, not prompt reuse.
Question 12
A company runs a website for users to make travel reservations. The company wants an AI solution to help create consistent branding for hotels on the website.
The AI solution needs to generate hotel descriptions for the website in a consistent writing style.
Which AWS service will meet these requirements?
A. Amazon Comprehend
B. Amazon Personalize
C. Amazon Rekognition
D. Amazon Bedrock
Show Answer
Correct Answer: D
Explanation: The requirement is to generate hotel descriptions in a consistent writing style, which is a text generation and content creation use case. Amazon Bedrock provides access to foundation models that can generate high-quality, branded, and consistent natural language text. The other services focus on NLP analysis (Comprehend), recommendations (Personalize), or image/video analysis (Rekognition), not text generation.
Question 12
A company has developed a neural network model to replace an existing decision tree model. The neural network model has a higher prediction accuracy compared to the decision tree model. However, the neural network model’s decision process is not as explainable as the decision tree model’s decision process.
Which tradeoff is the company making by adopting the neural network model?
A. Higher compliance for lower interpretability
B. Higher performance for lower portability
C. Higher performance for lower interpretability
D. Higher portability for lower interpretability
Show Answer
Correct Answer: C
Explanation: The neural network achieves higher prediction accuracy (performance) than the decision tree but sacrifices explainability, making the tradeoff higher performance for lower interpretability.
Question 13
A company is building a generative AI tool. The company will use internal documents to customize a foundation model (FM).
Which approach will meet this requirement?
A. Classification
B. Continued pre-training
C. Distillation
D. Regression
Show Answer
Correct Answer: B
Explanation: Using internal documents to customize a foundation model requires further training the existing model on domain-specific data. Continued pre-training updates the model’s knowledge and representations with company-specific terminology and context, unlike classification, regression, or distillation which do not add new domain knowledge.
Question 13
Which AWS service creates business intelligence reports and automatically generates executive summaries based on data that users provide?
A. Amazon Q in QuickSight
B. Amazon Rekognition
C. Amazon Textract
D. Amazon Polly
Show Answer
Correct Answer: A
Explanation: Amazon Q in QuickSight uses generative AI to create business intelligence insights, build reports and dashboards, and automatically generate narrative explanations and executive summaries from user-provided data. The other options focus on image analysis (Rekognition), document text extraction (Textract), or text-to-speech (Polly), not BI reporting.
Question 14
A company acquires International Organization for Standardization (ISO) accreditation to manage AI risks and to use AI responsibly.
What does this accreditation reflect about the company?
A. All members of the company are ISO certified.
B. All AI systems that the company uses are ISO certified.
C. All AI application team members are ISO certified.
D. The company’s development framework is ISO certified.
Show Answer
Correct Answer: D
Explanation: ISO accreditation applies to an organization’s management systems, processes, and governance. It does not certify individual employees, teams, or specific AI systems. For AI-related standards, the certification indicates that the company’s development and risk management framework aligns with ISO requirements for responsible and controlled AI use.
Question 14
A company wants to use its documents as a knowledge base for a large language model (LLM) in a Retrieval Augmented Generation (RAG) solution.
Which solution will meet these requirements?
A. Encrypt each document with encryption keys.
B. Create embeddings from document chunks.
C. Label the document data with metadata.
D. Generate one-hot encoding for each document
Show Answer
Correct Answer: B
Explanation: Retrieval Augmented Generation requires converting documents into vector representations so they can be semantically searched and retrieved at query time. Creating embeddings from document chunks enables similarity search against user queries and is the core requirement for a RAG knowledge base. Encryption, metadata labeling, or one-hot encoding do not provide semantic retrieval for LLMs.
Question 15
A company is using large language models (LLMs) to develop online tutoring applications. The company needs to apply configurable safeguards to the LLMs. These safeguards must ensure that the LLMs follow standard safety rules when creating applications.
Which solution will meet these requirements with the LEAST effort?
A. Amazon Bedrock playgrounds
B. Amazon SageMaker Clarify
C. Amazon Bedrock Guardrails
D. Amazon SageMaker Jumpstart
Show Answer
Correct Answer: C
Explanation: Amazon Bedrock Guardrails is purpose-built to apply configurable safety policies to LLMs with minimal effort. It provides centralized controls for content filtering, topic restrictions, prompt injection protection, and custom safety guidelines, ensuring models follow standard safety rules without building custom logic. The other options do not primarily provide configurable LLM safety guardrails.
Question 15
A company deploys a foundation model (FM). The company notices that the FM is producing answers to user-submitted questions about politics. The company wants to ensure that the model does not send answers to political questions to users.
Which AWS solution will meet this requirement?
A. Amazon Bedrock Guardrails
B. Amazon Bedrock Agents
C. Amazon SageMaker Clarify
D. Amazon SageMaker Model Monitor
Show Answer
Correct Answer: A
Explanation: Amazon Bedrock Guardrails allows organizations to define content filters and policies that block or restrict specific categories of content, such as political topics, from being generated or returned to users. This directly addresses the requirement to prevent the foundation model from answering political questions. The other options focus on agents, bias detection, or monitoring rather than real-time content restriction.
$19
Get all 397 questions with detailed answers and explanations
Instant download HTML + PDF delivered the moment payment clears.
Secure Stripe checkout we never see or store your card details.
7-day refund if files are defective see our refund policy.