71. A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer.
What can Amazon Q Developer do to help the company meet these requirements?
A. Create software snippets, reference tracking, and open-source license tracking.
B. Run an application without provisioning or managing servers.
C. Enable voice commands for coding and providing natural language search.
D. Convert audio files to text documents by using ML models.
Answer
A
72. A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.
Which AWS service or feature will meet these requirements?
A. AWS PrivateLink
B. Amazon Macie
C. Amazon CloudFront
D. Internet gateway
Answer
A
73. A company wants to develop an educational game where users answer questions such as the following: “A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?”
Which solution meets these requirements with the LEAST operational overhead?
A. Use supervised learning to create a regression model that will predict probability.
B. Use reinforcement learning to train a model to return the probability.
C. Use code that will calculate probability by using simple rules and computations.
D. Use unsupervised learning to create a model that will estimate probability density.
Answer
C
74. Which metric measures the runtime efficiency of operating AI models?
A. Customer satisfaction score (CSAT)
B. Training time for each epoch
C. Average response time
D. Number of training instances
Answer
C
75. A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.
Which solution meets these requirements?
A. Build a conversational chatbot by using Amazon Lex.
B. Transcribe call recordings by using Amazon Transcribe.
C. Extract information from call recordings by using Amazon SageMaker Model Monitor.
D. Create classification labels by using Amazon Comprehend.
Answer
B
76. A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company’s products.
Which methodology should the company use to meet these requirements?
A. Supervised learning
B. Unsupervised learning
C. Reinforcement learning
D. Reinforcement learning from human feedback (RLHF)
Answer
B
77. An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.
Which type of FM should the AI practitioner use to power the search application?
A. Multi-modal embedding model
B. Text embedding model
C. Multi-modal generation model
D. Image generation model
Answer
A
78. A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company’s data.
Which strategy will successfully fine-tune the model?
A. Provide labeled data with the prompt field and the completion field.
B. Prepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
C. Purchase Provisioned Throughput for Amazon Bedrock.
D. Train the model on journals and textbooks.
Answer
A
79. A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source.
Which solution meets these requirements?
A. Build a speech recognition system.
B. Create a natural language processing (NLP) named entity recognition system.
C. Develop an anomaly detection system.
D. Create a fraud forecasting system.
Answer
C
80. Which feature of Amazon OpenSearch Service gives companies the ability to build vector database applications?
A. Integration with Amazon S3 for object storage
B. Support for geospatial indexing and queries
C. Scalable index management and nearest neighbor search capability
D. Ability to perform real-time analysis on streaming data
Answer
C