The latest Generative AI for AWS Cloud Engineers certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Generative AI for AWS Cloud Engineers exam and earn Generative AI for AWS Cloud Engineers certification.
Exam Question 1
What is a key capability of NLP task foundation models?
A. Data encryption
B. Text generation
C. Text generation, translation, and question answering
D. Image generation
Correct Answer
C. Text generation, translation, and question answering
Exam Question 2
How can users interact with AI models in Amazon Bedrock?
A. Only by using pre-defined commands.
B. By uploading their own models.
C. By selecting models and providing prompts in the playground.
D. By coding models from scratch.
Correct Answer
C. By selecting models and providing prompts in the playground.
Exam Question 3
What is a key factor when choosing a foundation model in Amazon Bedrock?
A. The task to be achieved (e.g., text generation or image creation)
B. The price of the model
C. The region availability of the model
D. The software development kit used to access the model
Correct Answer
A. The task to be achieved (e.g., text generation or image creation)
Exam Question 4
What is a common metric used for evaluating text generation tasks?
A. ROUGE
B. BLEU
C. Precision
D. F1 Score
Correct Answer
A. ROUGE
Exam Question 5
How does the RAG architecture improve large language models (LLMs)?
A. By restricting access to external data sources.
B. By generating responses using only historical data.
C. By relying solely on internal knowledge within the model.
D. By retrieving relevant information during the generation process.
Correct Answer
D. By retrieving relevant information during the generation process.
Exam Question 6
What is the purpose of choosing an embedding model in the knowledge base creation process?
A. To upload data to S3.
B. To convert non-structured text data into a vector format.
C. To store data in a secure environment.
D. To choose a data source for syncing.
Correct Answer
B. To convert non-structured text data into a vector format.
Exam Question 7
What is the primary purpose of Amazon Bedrock Guardrails in generative AI applications?
A. To improve the speed of AI-generated content.
B. To ensure safety, reliability, and ethical alignment in AI outputs.
C. To eliminate the need for model training.
D. To enhance AI’s creativity and idea generation.
Correct Answer
B. To ensure safety, reliability, and ethical alignment in AI outputs.
Exam Question 8
What is a key feature of Amazon Bedrock?
A. Provides seamless integration with AWS services like SageMaker.
B. Allows building applications with only pre-programmed models.
C. Requires manual setup of the infrastructure.
D. Has a fixed pricing model.
Correct Answer
A. Provides seamless integration with AWS services like SageMaker.
Exam Question 9
What is the key feature of Amazon Bedrock?
A. Requires manual model management.
B. Focuses only on text generation.
C. Offers only a limited set of models.
D. Automates model management and deployment.
Correct Answer
D. Automates model management and deployment.
Exam Question 10
Which Amazon Bedrock model is best suited for dialogue-based tasks?
A. Stability AI (Stable Diffusion model)
B. Tropic (Cloudy model)
C. AI21 Labs (Jurassic 2 model)
D. Amazon Titan model
Correct Answer
C. AI21 Labs (Jurassic 2 model)
Exam Question 11
What is the purpose of setting hyperparameters during the fine-tuning process?
A. To define the model’s name and job name.
B. To store the model’s output in the right location.
C. To format the training data for the model.
D. To adjust the training behavior, like batch size and learning rate.
Correct Answer
D. To adjust the training behavior, like batch size and learning rate.
Exam Question 12
Which method is commonly used for evaluating generative AI models?
A. Direct assessment
B. Human evaluation
C. Automated scripts
D. Benchmark testing
Correct Answer
B. Human evaluation
Exam Question 13
What is the purpose of configuring a guardrail in Amazon Bedrock?
A. To enhance the model’s accuracy.
B. To provide training data for the model.
C. To block specific inputs or outputs.
D. To manage cloud resource allocation.
Correct Answer
C. To block specific inputs or outputs.
Exam Question 14
What happens when a configured topic, such as “Bitcoin,” is detected in a prompt by a guardrail?
A. The prompt is ignored.
B. The user is notified of a technical issue.
C. The response is flagged but still delivered.
D. The response is blocked with a predefined message.
Correct Answer
D. The response is blocked with a predefined message.
Exam Question 15
What is one key feature of Amazon Bedrock agents?
A. They are limited to natural language processing only.
B. They provide user authentication features only.
C. They enable AI agents to perform tasks like API calls and database queries.
D. They do not support memory for context retention.
Correct Answer
C. They enable AI agents to perform tasks like API calls and database queries.
Exam Question 16
Which pricing model is ideal for unpredictable workloads in Amazon Bedrock?
A. Reserved Capacity Pricing
B. Batch Pricing
C. Custom Model Pricing
D. On-Demand Pricing
Correct Answer
D. On-Demand Pricing