Question 1

What characterizes a simple machine learning model?

Options :

A : Low accuracy but high explainability

B : High accuracy and high explainability

C : Low accuracy and low explainability

D : High accuracy but low explainability

Answer: A

Question 2

A company is building a deep learning model on Amazon SageMaker. The company uses a large amount of data as the training dataset. The company needs to optimize the model's hyperparameters to minimize the loss function on the validation dataset. Which hyperparameter tuning strategy will accomplish this goal with the LEAST computation time?

Options :

A : Hyperbaric!

B : Grid search

C : Bayesian optimization

D : Random search

Answer: A

Question 3

A company is deploying a new machine learning (ML) model in a production environment. The company is concerned that the ML model will drift over time, so the company creates a script to aggregate all inputs and predictions into a single file at the end of each day. The company stores the file as an object in an Amazon S3 bucket. The total size of the daily file is 100 GB. The daily file size will increase over time. Four times a year, the company samples the data from the previous 90 days to check the ML model for drift. After the 90-day period, the company must keep the files for compliance reasons. The company needs to use S3 storage classes to minimize costs. The company wants to maintain the same storage durability of the data. Which solution will meet these requirements?

Options :

A : Store the daily objects in the S3 One Zone-Infrequent Access (S3 One Zone-IA) storage class. Configure an S3 Lifecycle rule to move the objects to S3 Glacier Deep Archive after 90 days.

B : Store the daily objects in the S3 Standard-InfrequentAccess (S3 Standard-IA) storage class. Configure an S3 Lifecycle rule to move the objects to S3 Glacier Flexible Retrieval after 90 days.

C : Store the daily objects in the S3 Standard-InfrequentAccess (S3 Standard-IA) storage class. Configure an S3 Lifecycle rule to move the objects to S3 Glacier Deep Archive after 90 days.

D : Store the daily objects in the S3 One Zone-Infrequent Access (S3 One Zone-IA) storage class. Configure an S3 Lifecycle rule to move the objects to S3 Glacier Flexible Retrieval after 90 days.

Answer: C

Question 4

A company is using Amazon Textract to extract textual data from thousands of scanned text-heavy legal documents daily.The company uses this information to process loan applications automatically. Some of the documents fail business validation and are returned to human reviewers, who investigate the errors. This activity increases the time to process the loan applications.What should the company do to reduce the processing time of loan applications?

Options :

A : Use an Amazon Textract synchronous operation instead of an asynchronous operation.

B : Use Amazon Rekognition-s feature to detect text in an image to extract the data from scanned images. Use this information to process the loan applications.

C : Configure Amazon Textract to route low-confidence predictions to Amazon SageMaker Ground Truth. Perform a manual review on those words before performing a business validation.

D : Configure Amazon Textract to route low-confidence predictions to Amazon Augmented AI (Amazon A2I). Perform a manual review on those words before performing a business validation.

Answer: D

Question 5

How is machine learning utilized in healthcare?

Options :

A : Automating the patient check-in process

B : Managing medical staff schedules

C : Suggesting treatment for patients by analyzing clinical data

D : Scheduling patient appointments

Answer: C

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