Aws Certified Machine Learning Engineer Associate Mla C01 Practice Test - Set 1
Test your knowledge with this Aws Certified Machine Learning Engineer Associate Mla C01 mock exam. Get real-world IT questions and prepare for certification success.
22. What is the maximum number of training jobs that can run concurrently in Amazon SageMaker?
10
20
50
100
✅ Correct Answer: 50
23. Which AWS service is used for natural language processing (NLP) in machine learning workflows?
Amazon Comprehend
Amazon SageMaker
AWS Lambda
AWS Glue
✅ Correct Answer: Amazon Comprehend
24. What is the purpose of Amazon SageMaker Ground Truth?
To label data for machine learning
To build machine learning models
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To label data for machine learning
25. Which Amazon SageMaker feature provides pre-built machine learning solutions?
SageMaker JumpStart
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker JumpStart
26. What is the maximum size of a single training dataset in Amazon SageMaker?
1 TB
5 TB
10 TB
No limit
✅ Correct Answer: No limit
27. Which AWS service is used for building conversational interfaces in machine learning applications?
Amazon Lex
Amazon Polly
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Lex
28. What is the purpose of Amazon SageMaker Autopilot?
To automate machine learning model creation
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To automate machine learning model creation
29. Which Amazon SageMaker feature optimizes models for deployment on specific hardware?
SageMaker Neo
SageMaker Autopilot
SageMaker Ground Truth
SageMaker JumpStart
✅ Correct Answer: SageMaker Neo
30. What is the maximum number of endpoints that can be created in Amazon SageMaker?
50
100
200
500
✅ Correct Answer: 200
31. Which AWS service is used for time-series forecasting in machine learning workflows?
Amazon Forecast
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Forecast
32. What is the purpose of Amazon SageMaker Experiments?
To track and compare machine learning experiments
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To track and compare machine learning experiments
33. Which Amazon SageMaker feature provides an integrated development environment for ML?
SageMaker Studio
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker Studio
34. What is the maximum number of models that can be stored in Amazon SageMaker?
100
200
500
1000
✅ Correct Answer: 500
35. Which AWS service is used for personalized recommendations in machine learning applications?
Amazon Personalize
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Personalize
36. What is the purpose of Amazon SageMaker Debugger?
To debug and profile machine learning models
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To debug and profile machine learning models
37. Which Amazon SageMaker feature provides a centralized repository for ML features?
SageMaker Feature Store
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker Feature Store
38. What is the maximum number of training jobs that can be stored in Amazon SageMaker?
100
200
500
1000
✅ Correct Answer: 500
39. Which AWS service is used for explainability in machine learning models?
Amazon SageMaker Clarify
Amazon Comprehend
Amazon Transcribe
Amazon Rekognition
✅ Correct Answer: Amazon SageMaker Clarify
40. What is the purpose of Amazon SageMaker Model Monitor?
To monitor machine learning models in production
To label data for machine learning
To deploy machine learning models
To build machine learning models
✅ Correct Answer: To monitor machine learning models in production
41. Which Amazon SageMaker feature helps with data preparation for ML?
SageMaker Data Wrangler
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker Data Wrangler
42. What is the maximum number of experiments that can be stored in Amazon SageMaker?
100
200
500
1000
✅ Correct Answer: 500
43. Which AWS service is used for building and deploying conversational AI applications?
Amazon Lex
Amazon Polly
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Lex
44. What is the purpose of Amazon SageMaker Pipelines?
To automate and manage machine learning workflows
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To automate and manage machine learning workflows
45. Which Amazon SageMaker feature manages models on edge devices?
SageMaker Edge Manager
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker Edge Manager
46. What is the maximum number of model monitors that can be created in Amazon SageMaker?
50
100
200
500
✅ Correct Answer: 100
47. Which AWS service is used for human review of ML predictions?
Amazon Augmented AI (A2I)
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Augmented AI (A2I)
48. What is the purpose of Amazon SageMaker Model Registry?
To catalog and manage machine learning models
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To catalog and manage machine learning models
49. Which Amazon SageMaker feature provides pre-built machine learning algorithms?
SageMaker Built-in Algorithms
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker Built-in Algorithms
50. What is the maximum number of feature groups that can be stored in Amazon SageMaker Feature Store?
50
100
200
500
✅ Correct Answer: 100
51. Which AWS service is used for document text extraction in machine learning workflows?
Amazon Textract
Amazon Rekognition
Amazon Comprehend
Amazon Transcribe
✅ Correct Answer: Amazon Textract
52. What is the purpose of Amazon SageMaker Processing Jobs?
To run data processing workloads
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To run data processing workloads
53. Which Amazon SageMaker feature provides managed spot training for ML models?
SageMaker Managed Spot Training
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker Managed Spot Training
54. What is the maximum number of pipelines that can be stored in Amazon SageMaker?
50
100
200
500
✅ Correct Answer: 100
55. Which AWS service is used for anomaly detection in machine learning workflows?
Amazon Lookout for Metrics
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Lookout for Metrics
56. What is the purpose of Amazon SageMaker Batch Transform?
To process large datasets with trained models
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To process large datasets with trained models
57. Which Amazon SageMaker feature provides distributed training for ML models?
SageMaker Distributed Training
SageMaker Autopilot
SageMaker Ground Truth
SageMaker Neo
✅ Correct Answer: SageMaker Distributed Training
58. What is the maximum number of human review workflows that can be created in Amazon A2I?
50
100
200
500
✅ Correct Answer: 100
59. Which AWS service is used for building and deploying custom machine learning models?
Amazon SageMaker
Amazon Rekognition
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon SageMaker
60. What is the purpose of Amazon SageMaker Model Registry?
To catalog and manage machine learning models
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To catalog and manage machine learning models
The Aws Certified Machine Learning Engineer Associate Mla C01 certification is a globally recognized credential for IT professionals.
This practice test helps you prepare by covering key topics like hardware, networking, troubleshooting, and security.
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