QUESTION 181
A financial company has offices in different countries worldwide. The company requires that all API calls between generative AI applications and foundation models (FM) must not travel across the public internet. Which AWS service should the company use?
A. AWS PrivateLink
B. Amazon Q
C. Amazon CloudFront
D. AWS CloudTrail
Correct Answer: A
QUESTION 182
An AI practitioner is building an ML model. The AI practitioner wants to provide model transparency and explainability to stakeholders. Which solution will meet these requirements?
A. Present the model Shapley values.
B. Provide the model accuracy measure.
C. Provide the model confusion matrix.
D. Provide a secure model inference endpoint.
Correct Answer: A
QUESTION 183
A customer service team is developing an application to analyze customer feedback and automatically classify the feedback into different categories. The categories include product quality, customer service, and delivery experience. Which AI concept does this scenario present?
A. Computer vision
B. Natural language processing (NLP)
C. Recommendation systems
D. Fraud detection
Correct Answer: B
QUESTION 184
An online learning company with large volumes of education materials wants to use enterprise search. Which AWS service meets these requirements?
A. Amazon Comprehend
B. Amazon Textract
C. Amazon Kendra
D. Amazon Personalize
Correct Answer: C
QUESTION 185
A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals. Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?
A. User-generated content
B. Moderation logs
C. Content moderation guidelines
D. Benchmark datasets
Correct Answer: D
QUESTION 186
A company is working on a large language model (LLA) and noticed that the LLM’s outputs are not as diverse as expected. Which parameter should the company adjust?
A. Temperature
B. Batch size
C. Learning rate
D. Optimizer type
Correct Answer: A
QUESTION 187
A company stores its Al datasets in Amazon S3 buckets. The company wants to share the S3 buckets with its business partners. The company needs to avoid accidentally sharing sensitive data. Which AWS service should the company use to discover sensitive data in the dataset?
A. Amazon Kendra
B. Amazon Macie
C. Amazon Textract
D. AWS Data Exchange
Correct Answer: B
QUESTION 188
A company is using Amazon SageMaker Studio notebooks to build and train ML models. The company stores the data in an Amazon S3 bucket. The company needs to secure the flow of data from Amazon S3 to SageMaker Studio notebooks. Which solution will meet this requirement?
A. Use Amazon Inspector to monitor SageMaker Studio.
B. Use Amazon Macie to monitor SageMaker Studio.
C. Configure SageMaker to use a VPC with an S3 endpoint.
D. Configure SageMaker to use S3 Glacier Deep Archive.
Correct Answer: D
QUESTION 189
A company is training a foundation model (FM). The company wants to increase the accuracy of the model up to a specific acceptance level. Which solution will meet these requirements?
A. Decrease the batch size.
B. Increase the epochs.
C. Decrease the epochs.
D. Increase the temperature parameter.
Correct Answer: B
QUESTION 190
A documentary filmmaker wants to reach more viewers. The filmmaker wants to automatically add subtitles and voice-overs in multiple languages to their films. which combination of steps will meet these requirements? (Select TWO.)
A. Use Amazon Transcribe and Amazon Translate to generate subtitles in other languages.
B. Use Amazon Textract and Amazon Translate to generate subtitles in other languages.
C. Use Amazon Polly to generate voice-overs in other languages.
D. Use Amazon Translate to generate voice-overs in other languages.
E. Use Amazon Textract to generate voice-overs in other languages.
Correct Answer: AC
QUESTION 191
An AI practitioner is evaluating the performance of an Amazon SageMaker model. The Al practitioner must choose a performance metric. The metric must show the ratio of the number of correctly classified items to the total number of correctly and incorrectly classified items. Which metric meets these requirements?
A. Accuracy
B. Precision
C. F1 score
D. Recall
Correct Answer: A
QUESTION 192
A grocery store wants to create a chatbot to help customers find products in the store. The chatbot must check the inventory in real time and provide the product location in the store. Which prompt engineering technique should the store use to build the chatbot?
A. Zero-shot prompting
B. Few-shot prompting
C. Least-to-most prompting
D. Reasoning and acting (ReAct) prompting
Correct Answer: D
QUESTION 193
A company has created a custom model by fine-tuning an existing large language model (LLM) from Amazon Bedrock. The company wants to deploy the model to production and use the model to handle a steady rate of requests each minute. Which solution meets these requirements MOST cost-effectively?
A. Deploy the model by using an Amazon EC2 compute optimized instance.
B. Use the model with on-demand throughput on Amazon BedrocK.
C. Store the model in Amazon S3 and host the model by using AWS Lambda.
D. Purchase Provisioned Throughput for the model on Amazon Bedrock.
Correct Answer: D
QUESTION 194
Which option is an example of unsupervised learning?
A. Clustering data points into groups based on their similarity
B. Training a model to recognize images of animals
C. Predicting the price of a house based on the house’s features
D. Generating human-like text based on a given prompt
Correct Answer: A
QUESTION 195
A company is using Amazon SageMaker to deploy a model that identifies if social media posts contain certain topics. The company needs to show how different input features influence model behavior. Which SageMaker feature meets these requirements?
A. SageMaker Canvas
B. SageMaker Clarify
C. SageMaker Feature Store
D. SageMaker Ground Truth
Correct Answer: B
QUESTION 196
A company is creating a model to label credit card transactions. The company has a large volume of sample transaction data to train the model. Most of the transaction data is unlabeled. The data does not contain confidential information. The company needs to obtain labeled sample data to fine-tune the model. Which solutions will meet these requirements? (Select TWO.)
A. Run batch inference jobs on the unlabeled data.
B. Run an Amazon SageMaker Al training job that uses the PyTorch Distributed library to label data.
C. Use an Amazon SageMaker Ground Truth labeling job with Amazon Mechanical Turk workers.
D. Use an optical character recognition model trained on labeled samples to label unlabeled samples.
E. Run an Amazon SageMaker Al labeling job.
Correct Answer: CE
QUESTION 197
A financial company is developing a fraud detection system that flags potential fraud cases in credit card transactions. Employees will evaluate the flagged fraud cases. The company wants to minimize the amount of time the employees spend reviewing flagged fraud cases that are not actually fraudulent. Which evaluation metric meets these requirements?
A. Recall
B. Accuracy
C. Precision
D. Lift chart
Correct Answer: C
QUESTION 198
An AI practitioner has trained a model on a training dataset. The model performs well on the training data. However, the model does not perform well on evaluation data. What is the MOST likely cause of this issue?
A. The model is underfit.
B. The model requires prompt engineering.
C. The model is biased.
D. The model is overfit.
Correct Answer: D
QUESTION 199
A company is training ML models on datasets. The datasets contain some classes that have more examples than other classes. The company wants to measure how well the model balances detecting and labeling the classes. Which metric should the company use?
A. Accuracy
B. Recall
C. Precision
D. F1 score
Correct Answer: D
QUESTION 200
What does inference refer to in the context of AI?
A. The process of creating new Al algorithms
B. The use of a trained model to make predictions or decisions on unseen data
C. The process of combining multiple Al models into one model
D. The method of collecting training data for Al systems
Correct Answer: B