A company needs to deploy a model for real-time inference with strict latency requirements. The traffic pattern is spiky, with unpredictable peaks. The company wants to balance cost and latency. Which deployment option is most appropriate?

Use a SageMaker serverless endpoint.

Use a single large EC2 instance to handle peak traffic.

Use a SageMaker real-time endpoint with auto-scaling based on traffic.

Use a SageMaker batch transform job that runs every few minutes.

A news organization wants to automatically transcribe interviews and then translate the transcripts into multiple languages for international distribution. Which AWS services should be used?

Amazon Polly to convert audio to text, then Amazon Comprehend to translate.

Amazon SageMaker to train a custom speech-to-text model and a custom translation model.

Amazon Rekognition to transcribe audio, then Amazon Textract to translate.

Amazon Transcribe to convert audio to text, then Amazon Translate to translate the text.

AWSCertified Machine Learning Engineer - Associate

Domain 2Objective 1

Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 3)

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 11–15

11expert · hard
A company needs to deploy a model for real-time inference with strict latency requirements. The traffic pattern is spiky, with unpredictable peaks. The company wants to balance cost and latency. Which deployment option is most appropriate?
Select an answer first
12foundation · easy
A team wants to build a machine learning model to predict equipment failure. They have only 50 recorded failure events over the past 10 years, but millions of normal operation records. What is the primary feasibility concern with this data?
Select an answer first
13foundation · easy
A company needs to extract text from images of scanned invoices for automated processing. Which AWS AI service is designed for this task?
Select an answer first
14application · easy
A news organization wants to automatically transcribe interviews and then translate the transcripts into multiple languages for international distribution. Which AWS services should be used?
Select an answer first
15foundation · easy
A retail company wants to group customers into segments based on purchasing behavior so that marketing campaigns can be tailored to each segment. Which type of machine learning algorithm is most appropriate for this task?
Select an answer first

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Task 2.1: Choose a Modeling Approach MLA-C01 Practice Questions (Page 3)

Questions 11–15

A company needs to deploy a model for real-time inference with strict latency requirements. The traffic pattern is spiky, with unpredictable peaks. The company wants to balance cost and latency. Which deployment option is most appropriate?

A team wants to build a machine learning model to predict equipment failure. They have only 50 recorded failure events over the past 10 years, but millions of normal operation records. What is the primary feasibility concern with this data?

A company needs to extract text from images of scanned invoices for automated processing. Which AWS AI service is designed for this task?

A news organization wants to automatically transcribe interviews and then translate the transcripts into multiple languages for international distribution. Which AWS services should be used?

A retail company wants to group customers into segments based on purchasing behavior so that marketing campaigns can be tailored to each segment. Which type of machine learning algorithm is most appropriate for this task?

Keep studying — Content Domain 2: ML Model Development