Question 1

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

Question 2

What is a key advantage of a complex machine learning model?

Options :

A : Speed of data processing

B : High accuracy

C : Low computational requirements

D : High explainability

Answer: B

Question 3

A Machine Learning Specialist is preparing data for training on Amazon SageMaker.The Specialist is using one of the SageMaker built-in algorithms for the training.The dataset is stored in .CSV format and is transformed into a numpy.array, which appears to be negatively affecting the speed of the training.What should the Specialist do to optimize the data for training on SageMaker?

Options :

A : Use AWS Glue to compress the data into the Apache Parquet format.

B : Use the SageMaker hyperparameter optimization feature to automatically optimize the data.

C : Transform the dataset into the RecordIO protobuf format.

D : Use the SageMaker batch transform feature to transform the training data into a DataFrame.

Answer: C

Question 4

An ML engineer has developed a binary classification model outside of Amazon SageMaker. The ML engineer needs to make the model accessible to a SageMaker Canvas user for additional tuning. The model artifacts are stored in an Amazon S3 bucket. The ML engineer and the Canvas user are part of the same SageMaker domain. Which combination of requirements must be met so that the ML engineer can share the model with the Canvas user? (Choose two.)

Options :

A : The ML engineer and the Canvas user must be in separate SageMaker domains.

B :

The Canvas user must have permissions to access the S3 bucket where the model artifacts are stored.

C : The model must be registered in the SageMaker Model Registry.

D : The ML engineer must host the model on AWS Marketplace.

E : The ML engineer must deploy the model to a SageMaker endpoint.

Answer: B,C

Question 5

What is the primary purpose of clustering in machine learning?

Options :

A : Grouping similar items together

B : Identifying outliers

C : Predicting future trends

D : Ranking relevant items

Answer: A