Google Cloud

Google Cloud Certified – Professional Machine Learning Engineer

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

495 questions 0 views Free
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Questions 431–440 of 495

Q431

A company needs to deploy a machine learning model for real-time predictions. Which approach minimizes latency?

  • A Batch prediction
  • B Cloud Run
  • C Dataflow with Pub/Sub
  • D Vertex AI endpoints
Explanation Vertex AI endpoints are designed for low-latency real-time predictions, unlike the other options that either introduce delays or do not fulfill the requirement.
Q432

What happens when you decrease the learning rate too much during training?

  • A Faster convergence
  • B Risk of overshooting minima
  • C Slower convergence
  • D No effect on training
Explanation A lower learning rate results in slower convergence, which can prevent the model from learning effectively.
Q433

Which service is best for real-time data processing on GCP?

  • A Cloud Dataflow
  • B BigQuery
  • C Cloud Storage
  • D Cloud Pub/Sub
Explanation Cloud Dataflow is designed for real-time data processing, while others serve different purposes like storage and query analytics.
Q434

A company needs to securely share data with external partners. Which Google Cloud feature should they use?

  • A Cloud Identity
  • B Data Catalog
  • C Shared VPC
  • D IAM Roles
Explanation IAM Roles provide fine-grained access control to share data securely.
Q435

What happens when using AutoML with imbalanced training data?

  • A More accurate model predictions
  • B Overfitting on majority class
  • C Underfitting on minority class
  • D Improved model interpretability
Explanation Imbalanced training data can lead to the model overfitting on the majority class, poorly predicting the minority class.
Q436

Which service is best for training machine learning models at scale in Google Cloud?

  • A Google BigQuery
  • B Google Cloud AI Platform
  • C Google Cloud Functions
  • D Google App Engine
Explanation Google Cloud AI Platform is optimized for ML model training, while others serve different purposes.
Q437

A company needs to analyze streaming data in real-time for decision making. Which service should they use?

  • A Google Cloud Pub/Sub
  • B Google Cloud Storage
  • C Google Cloud Spanner
  • D Google BigQuery
Explanation Google Cloud Pub/Sub facilitates real-time data streaming, unlike the others which are suited for different tasks.
Q438

What happens when you set the model's learning rate too high?

  • A Faster convergence of the model
  • B Stable learning without fluctuations
  • C Potential divergence of training
  • D Improved accuracy of predictions
Explanation A high learning rate can cause divergence, making the model unable to learn effectively, while other options suggest desirable outcomes that are incorrect.
Q439

Which service is best for building scalable machine learning workflows?

  • A Cloud Dataflow
  • B Cloud Functions
  • C Cloud Run
  • D Cloud ML Engine
Explanation Cloud ML Engine is designed for deploying ML models, while others serve different purposes.
Q440

A company needs to analyze large datasets but has strict cost limitations. Which Cloud service is most cost-efficient?

  • A BigQuery
  • B Cloud SQL
  • C Cloud Spanner
  • D Cloud Dataproc
Explanation BigQuery is designed for large queries with pay-per-query pricing, while others may incur higher fixed costs.