A company needs to run inference on a large batch of images to detect objects. The workload is not time-sensitive and runs once a month. The company wants to minimize cost. Which SageMaker inference option is most cost-effective?

Use a SageMaker serverless endpoint.

Use a SageMaker batch transform job.

Use an Amazon EC2 instance to run the inference script manually.

Use a SageMaker real-time endpoint with a multi-model endpoint.

A marketing team wants to generate personalized email content for each customer based on their purchase history. They have a large corpus of past marketing emails and customer data. The team wants to use a pre-trained model that can generate text without building a custom model from scratch. Which AWS service should they use?

Amazon SageMaker built-in BlazingText to generate emails.

Amazon Comprehend to generate email content.

Amazon Bedrock with a foundation model like Amazon Titan Text.

Amazon Transcribe to generate email content from audio.

AWSCertified Machine Learning Engineer - Associate

Domain 2Objective 1

Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 6)

Part of the Content Domain 2: ML Model Development domain, which accounts for 26% of the MLA-C01 exam. AWS does not publish an official question count, but from its 130-minute exam (~50–85 total, ~13–22 in this domain), expect 4–7 from this objective — we provide 32 practice questions to prepare you well beyond it. (estimate)

32questions here

7free pages

9concepts

26%of the exam

Questions 26–30

26foundation · easy
A company wants to use machine learning to predict customer churn. They have a dataset with 1 million customer records, but 40% of the values in the 'monthly spend' column are missing. What is the most important feasibility issue to address before building the model?
Select an answer first
27application · easy
A data science team needs to build a model to recommend products to users based on their past purchases. The data is a user-item interaction matrix. Which SageMaker built-in algorithm is most appropriate?
Select an answer first
28expert · medium
A company needs to run inference on a large batch of images to detect objects. The workload is not time-sensitive and runs once a month. The company wants to minimize cost. Which SageMaker inference option is most cost-effective?
Select an answer first
29foundation · easy
A data scientist needs to train a model to predict the number of items a customer will purchase next month based on historical purchase data. The target variable is a continuous numeric value. Which Amazon SageMaker AI built-in algorithm is most appropriate?
Select an answer first
30application · easy
A marketing team wants to generate personalized email content for each customer based on their purchase history. They have a large corpus of past marketing emails and customer data. The team wants to use a pre-trained model that can generate text without building a custom model from scratch. Which AWS service should they use?
Select an answer first

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Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 6)

Questions 26–30

A company wants to use machine learning to predict customer churn. They have a dataset with 1 million customer records, but 40% of the values in the 'monthly spend' column are missing. What is the most important feasibility issue to address before building the model?

A data science team needs to build a model to recommend products to users based on their past purchases. The data is a user-item interaction matrix. Which SageMaker built-in algorithm is most appropriate?

A company needs to run inference on a large batch of images to detect objects. The workload is not time-sensitive and runs once a month. The company wants to minimize cost. Which SageMaker inference option is most cost-effective?

A data scientist needs to train a model to predict the number of items a customer will purchase next month based on historical purchase data. The target variable is a continuous numeric value. Which Amazon SageMaker AI built-in algorithm is most appropriate?

Keep studying — Content Domain 2: ML Model Development