Aws Certified Machine Learning Specialty Mls C01 Practice Test - Set 1
Test your knowledge with this Aws Certified Machine Learning Specialty Mls C01 mock exam. Get real-world IT questions and prepare for certification success.
AWS Certified Machine Learning – Specialty (MLS-C01) - Exam Information
1. Which AWS service allows data scientists to build, train, and deploy machine learning models at scale?
Amazon Comprehend
Amazon SageMaker
AWS Lambda
AWS Glue
✅ Correct Answer: Amazon SageMaker
2. What is the primary use case for Amazon Rekognition?
Image and video analysis
Natural language processing
Speech-to-text conversion
Data warehousing
✅ Correct Answer: Image and video analysis
3. Which AWS service is used for natural language processing (NLP)?
Amazon Comprehend
Amazon SageMaker
AWS Lambda
AWS Glue
✅ Correct Answer: Amazon Comprehend
4. What is the purpose of Amazon Polly?
Text-to-speech conversion
Image recognition
Speech-to-text conversion
Natural language processing
✅ Correct Answer: Text-to-speech conversion
5. Which AWS service is used for speech-to-text conversion?
Amazon Transcribe
Amazon Polly
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Transcribe
6. What is the primary use case for Amazon SageMaker Ground Truth?
Labeling data for machine learning
Building machine learning models
Deploying machine learning models
Monitoring machine learning models
✅ Correct Answer: Labeling data for machine learning
7. Which AWS service is used for building conversational interfaces?
Amazon Lex
Amazon Polly
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Lex
8. What is the purpose of Amazon Forecast?
Time-series forecasting
Image recognition
Speech-to-text conversion
Natural language processing
✅ Correct Answer: Time-series forecasting
9. Which AWS service is used for anomaly detection?
Amazon Lookout for Metrics
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Lookout for Metrics
10. What is the primary use case for Amazon Textract?
Document text extraction
Image recognition
Speech-to-text conversion
Natural language processing
✅ Correct Answer: Document text extraction
11. Which AWS service is used for personalized recommendations?
Amazon Personalize
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Personalize
12. What is the purpose of Amazon Kendra?
Enterprise search service
Image recognition
Speech-to-text conversion
Natural language processing
✅ Correct Answer: Enterprise search service
13. Which AWS service is used for fraud detection?
Amazon Fraud Detector
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Fraud Detector
14. What is the primary use case for Amazon Augmented AI (A2I)?
Human review of ML predictions
Image recognition
Speech-to-text conversion
Natural language processing
✅ Correct Answer: Human review of ML predictions
15. 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
16. What is the purpose of Amazon CodeGuru?
Automated code reviews and performance recommendations
Image recognition
Speech-to-text conversion
Natural language processing
✅ Correct Answer: Automated code reviews and performance recommendations
17. Which AWS service is used for real-time speech recognition?
Amazon Transcribe
Amazon Polly
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Transcribe
18. What is the primary use case for Amazon Lookout for Vision?
Visual anomaly detection
Image recognition
Speech-to-text conversion
Natural language processing
✅ Correct Answer: Visual anomaly detection
19. Which AWS service is used for building and deploying conversational AI applications?
Amazon Lex
Amazon Polly
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Lex
20. What is the primary use case for Amazon SageMaker Neo?
Optimize machine learning models for deployment
Build machine learning models
Label data for machine learning
Monitor machine learning models
✅ Correct Answer: Optimize machine learning models for deployment
21. Which AWS service provides pre-trained computer vision models?
Amazon Rekognition
Amazon SageMaker
AWS DeepLens
Amazon Comprehend
✅ Correct Answer: Amazon Rekognition
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)?
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 AWS service provides pre-trained speech-to-text models?
Amazon Transcribe
Amazon Polly
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Transcribe
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?
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 AWS service provides pre-trained text-to-speech models?
Amazon Polly
Amazon Transcribe
Amazon Comprehend
Amazon Rekognition
✅ Correct Answer: Amazon Polly
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?
Amazon Forecast
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Forecast
32. What is the purpose of Amazon SageMaker Neo?
To optimize machine learning models for deployment
To build machine learning models
To label data for machine learning
To monitor machine learning models
✅ Correct Answer: To optimize machine learning models for deployment
33. Which AWS service is used for document text extraction?
Amazon Textract
Amazon Rekognition
Amazon Comprehend
Amazon Transcribe
✅ Correct Answer: Amazon Textract
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?
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 AWS service is used for enterprise search?
Amazon Kendra
Amazon Comprehend
Amazon Transcribe
Amazon Rekognition
✅ Correct Answer: Amazon Kendra
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 fraud detection?
Amazon Fraud Detector
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Fraud Detector
40. 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
41. Which AWS service is used for visual anomaly detection?
Amazon Lookout for Vision
Amazon Rekognition
Amazon Comprehend
Amazon Transcribe
✅ Correct Answer: Amazon Lookout for Vision
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 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
45. Which AWS service is used for automated code reviews?
Amazon CodeGuru
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon CodeGuru
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 explainable AI?
Amazon SageMaker Clarify
Amazon Comprehend
Amazon Transcribe
Amazon Rekognition
✅ Correct Answer: Amazon SageMaker Clarify
48. What is the purpose of Amazon SageMaker Edge Manager?
To manage machine learning models on edge devices
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To manage machine learning models on edge devices
49. Which AWS service is used for feature engineering in machine learning?
Amazon SageMaker Feature Store
Amazon Rekognition
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon SageMaker Feature Store
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 data preparation in machine learning?
Amazon SageMaker Data Wrangler
Amazon Comprehend
Amazon Transcribe
Amazon Rekognition
✅ Correct Answer: Amazon SageMaker Data Wrangler
52. 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
53. Which AWS service is used for quick-start machine learning projects?
Amazon SageMaker JumpStart
Amazon Comprehend
Amazon Transcribe
Amazon Rekognition
✅ Correct Answer: Amazon SageMaker JumpStart
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 human review of ML predictions?
Amazon Augmented AI (A2I)
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Augmented AI (A2I)
56. What is the purpose of Amazon SageMaker Studio?
To provide an integrated development environment for machine learning
To label data for machine learning
To deploy machine learning models
To monitor machine learning models
✅ Correct Answer: To provide an integrated development environment for machine learning
57. Which AWS service is used for anomaly detection in metrics?
Amazon Lookout for Metrics
Amazon SageMaker
AWS DeepLens
AWS Lambda
✅ Correct Answer: Amazon Lookout for Metrics
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 Specialty Mls C01 certification is a globally recognized credential for IT professionals.
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