Google Professional ML Engineer Certification: Quiz Part 1 – Test and Elevate Your Knowledge
Question 1:
What is the primary function of the TensorFlow Hub?
A. To store and share pre-trained machine learning models
B. To deploy machine learning models on edge devices
C. To visualize and understand machine learning models
D. To manage machine learning datasets
Question 2:
Which Google Cloud Platform product is used for speech recognition and text-to-speech synthesis?
A. Cloud Speech-to-Text
B. Cloud Vision
C. Cloud Natural Language
D. Cloud Translation
Question 3:
What is the primary function of the Cloud Translation API?
A. To translate text between different languages
B. To recognize and transcribe speech
C. To analyze images and extract information
D. To build and train machine learning models
Question 4:
Which Google Cloud Platform product is used for image recognition and classification tasks?
A. Cloud Vision
B. Cloud Natural Language
C. Cloud Speech-to-Text
D. Cloud Translation
Question 5:
What is the purpose of the Cloud Data Fusion service?
A. To build and train machine learning models
B. To manage machine learning datasets
C. To integrate data from various sources
D. To visualize and understand machine learning models
Question 6:
Which Google Cloud Platform product is used for building and deploying machine learning models?
A. Cloud Functions
B. Cloud Storage
C. Vertex AI
D. Cloud SQL
Question 7:
What is the main purpose of the TensorFlow Lite framework?
A. To build and train large-scale machine learning models
B. To deploy machine learning models on edge devices
C. To visualize and understand machine learning models
D. To manage machine learning datasets
Question 8:
Which Google Cloud Platform product is used for data labeling and annotation tasks?
A. AutoML Natural Language
B. Cloud Data Fusion
C. Dialogflow
D. Vertex AI Vision
Question 9:
What is the primary function of the Cloud AutoML service?
A. To provide pre-trained machine learning models
B. To automatically build and train machine learning models
C. To manage machine learning infrastructure
D. To visualize and understand machine learning models
Question 10:
Which Google Cloud Platform product is used for natural language processing tasks like sentiment analysis and text classification?
A. Cloud Vision
B. Cloud Speech-to-Text
C. AutoML Natural Language
D. Cloud Translation
Question 11:
What is the purpose of the TensorFlow Hub?
A. To store and share pre-trained machine learning models
B. To deploy machine learning models on edge devices
C. To visualize and understand machine learning models
D. To manage machine learning datasets
Question 12:
Which Google Cloud Platform product is used for speech recognition and text-to-speech synthesis?
A. Cloud Speech-to-Text
B. Cloud Vision
C. Cloud Natural Language
D. Cloud Translation
Question 13:
What is the primary function of the Cloud Translation API?
A. To translate text between different languages
B. To recognize and transcribe speech
C. To analyze images and extract information
D. To build and train machine learning models
Question 14:
Which Google Cloud Platform product is used for image recognition and classification tasks?
A. Cloud Vision
B. Cloud Natural Language
C. Cloud Speech-to-Text
D. Cloud Translation
Question 15:
What is the purpose of the Cloud Data Fusion service?
A. To build and train machine learning models
B. To manage machine learning datasets
C. To integrate data from various sources
D. To visualize and understand machine learning models
Question 16:
Which Google Cloud Platform product is used for building and deploying machine learning models?
A. Cloud Functions
B. Cloud Storage
C. Vertex AI
D. Cloud SQL
Question 17:
What is the main purpose of the TensorFlow Lite framework?
A. To build and train large-scale machine learning models
B. To deploy machine learning models on edge devices
C. To visualize and understand machine learning models
D. To manage machine learning datasets
Question 18:
Which Google Cloud Platform product is used for data labeling and annotation tasks?
A. AutoML Natural Language
B. Cloud Data Fusion
C. Dialogflow
D. Vertex AI Vision
Question 19:
What is the primary function of the Cloud AutoML service?
A. To provide pre-trained machine learning models
B. To automatically build and train machine learning models
C. To manage machine learning infrastructure
D. To visualize and understand machine learning models
Question 20:
Which Google Cloud Platform product is used for natural language processing tasks like sentiment analysis and text classification?
A. Cloud Vision
B. Cloud Speech-to-Text
C. AutoML Natural Language
D. Cloud Translation
Answers:
1.A, 2.A, 3.A, 4.A, 5.C, 6.C, 7.B, 8.D, 9.B, 10.C, 11.A, 12.A, 13.A, 14.A, 15.C, 16.C, 17.B, 18D, 19.B, 20.C.
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