Google Cloud

Google Cloud Certified – Professional Machine Learning Engineer

PR000269
Trending

Validate your skills as a Professional Machine Learning Engineer with exam code PR000269 in Google Cloud.

495 questions 0 views Free
Start Mock Test Timed · Full-length · Scored

Questions 31–40 of 495

Q31

Which service is best for training machine learning models using TensorFlow?

  • A Google AI Platform
  • B Google Compute Engine
  • C Google App Engine
  • D Google Cloud Functions
Explanation Google AI Platform is specifically designed for ML model training, while others are general compute services.
Q32

A company needs to deploy a machine learning model for real-time prediction. Which service should they use?

  • A Google Cloud Run
  • B Google Cloud Storage
  • C Google Cloud Pub/Sub
  • D Google BigQuery
Explanation Google Cloud Run allows for fast deployment of models for real-time prediction.
Q33

What happens when you set a high learning rate for a model?

  • A Model converges quickly
  • B Model training is slower
  • C Model may not converge
  • D Model error decreases
Explanation A high learning rate can cause the model weights to oscillate or diverge, preventing convergence.
Q34

Which service is best for building event-driven systems?

  • A Cloud Functions
  • B Compute Engine
  • C Cloud Storage
  • D BigQuery
Explanation Cloud Functions is designed for event-driven applications, while the others serve different purposes.
Q35

A company needs to analyze streaming data with low latency. Which service should they use?

  • A Cloud Pub/Sub
  • B Cloud Storage
  • C BigQuery
  • D Cloud Spanner
Explanation Cloud Pub/Sub is optimized for real-time message ingestion and delivery, unlike the other options suitable for batch or static data.
Q36

What happens when using an AI model trained on biased data?

  • A Accuracy improves significantly
  • B Performance fails on all data
  • C It displays biased predictions
  • D No impact on predictions
Explanation Models trained on biased data tend to replicate those biases in their predictions, affecting fairness and accuracy.
Q37

Which Google Cloud service offers serverless data processing?

  • A Google Cloud Functions
  • B Google Cloud Run
  • C Google Dataflow
  • D Google Compute Engine
Explanation Google Dataflow specializes in serverless data processing; Functions and Run are for different use cases, while Compute Engine requires provisioned infrastructure.
Q38

A company needs to perform image classification using machine learning. Which API would they most likely use?

  • A Vision AI
  • B Natural Language API
  • C Speech-to-Text API
  • D Translation API
Explanation Vision AI is designed specifically for image classification, while the others serve different functionalities.
Q39

You are configuring a machine learning model in Vertex AI. What happens when you set the 'max parallelism' to a value greater than the dataset size?

  • A GPU resource allocation improves
  • B It will run with that max value
  • C Concurrency is ignored
  • D Performance is halved
Explanation Setting 'max parallelism' above dataset size means concurrency cannot exceed the number of data items available, therefore it's ignored.
Q40

Which service is best for real-time data processing?

  • A Cloud Dataflow
  • B Cloud Storage
  • C BigQuery
  • D Cloud Pub/Sub
Explanation Cloud Dataflow is optimized for real-time stream processing, unlike the others.