AIF-C01 practice questions 151–160

1. Question 151 · 417 in bank

   Which AWS feature records details about ML instance data for governance and reporting?

   • AAmazon SageMaker Model Cards
   • BAmazon SageMaker Debugger
   • CAmazon SageMaker Model Monitor
   • DAmazon SageMaker JumpStart

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   Answer: A

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2. Question 152 · 417 in bank

   A financial company is using ML to help with some of the company’s tasks. Which option is a use of generative AI models?

   • ASummarizing customer complaints
   • BClassifying customers based on product usage
   • CSegmenting customers based on type of investments
   • DForecasting revenue for certain products

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   Answer: A

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3. Question 153 · 417 in bank

   A medical company wants to develop an AI application that can access structured patient records, extract relevant information, and generate concise summaries. Which solution will meet these requirements?

   • AUse Amazon Comprehend Medical to extract relevant medical entities and relationships. Apply rule-based logic to structure and format summaries.
   • BUse Amazon Personalize to analyze patient engagement patterns. Integrate the output with a general purpose text summarization tool.
   • CUse Amazon Textract to convert scanned documents into digital text. Design a keyword extraction system to generate summaries.
   • DImplement Amazon Kendra to provide a searchable index for medical records. Use a template-based system to format summaries.

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   Answer: A

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4. Question 154 · 417 in bank

   Which option describes embeddings in the context of AI?

   • AA method for compressing large datasets
   • BAn encryption method for securing sensitive data
   • CA method for visualizing high-dimensional data
   • DA numerical method for data representation in a reduced dimensionality space

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   Answer: D

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5. Question 155 · 417 in bank

   A company is building an AI application to summarize books of varying lengths. During testing, the application fails to summarize some books. Why does the application fail to summarize some books?

   • AThe temperature is set too high.
   • BThe selected model does not support fine-tuning.
   • CThe Top P value is too high.
   • DThe input tokens exceed the model’s context size.

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   Answer: D

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6. Question 156 · 417 in bank

   An airline company wants to build a conversational AI assistant to answer customer questions about flight schedules, booking, and payments. The company wants to use large language models (LLMs) and a knowledge base to create a text-based chatbot interface. Which solution will meet these requirements with the LEAST development effort?

   • ATrain models on Amazon SageMaker Autopilot.
   • BDevelop a Retrieval Augmented Generation (RAG) agent by using Amazon Bedrock.
   • CCreate a Python application by using Amazon Q Developer.
   • DFine-tune models on Amazon SageMaker Jumpstart.

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   Answer: B

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7. Question 157 · 417 in bank

   What is tokenization used for in natural language processing (NLP)?

   • ATo encrypt text data
   • BTo compress text files
   • CTo break text into smaller units for processing
   • DTo translate text between languages

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   Answer: C

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8. Question 158 · 417 in bank

   Which option is a characteristic of transformer-based language models?

   • ATransformer-based language models use convolutional layers to apply filters across an input to capture local patterns through filtered views.
   • BTransformer-based language models can process only text data.
   • CTransformer-based language models use self-attention mechanisms to capture contextual relationships.
   • DTransformer-based language models process data sequences one element at a time in cyclic iterations.

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   Answer: C

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9. Question 159 · 417 in bank

   A financial company is using AI systems to obtain customer credit scores as part of the loan application process. The company wants to expand to a new market in a different geographic area. The company must ensure that it can operate in that geographic area. Which compliance laws should the company review?

   • ALocal health data protection laws
   • BLocal payment card data protection laws
   • CLocal education privacy laws
   • DLocal algorithm accountability laws

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   Answer: D

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10. Question 160 · 417 in bank

    Select 2

    A company uses Amazon Bedrock for its generative AI application. The company wants to use Amazon Bedrock Guardrails to detect and filter harmful user inputs and model-generated outputs. Which content categories can the guardrails filter? (Choose two.)

    • AHate
    • BPolitics
    • CViolence
    • DGambling
    • EReligion

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    Answer: AC

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AIF-C01 practice, question 151. 417 questions available.