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 311–320 of 495

Q311

A company needs to train a model on a large dataset but is limited on disk space. What Google Cloud service can help?

  • A Cloud Storage
  • B BigQuery
  • C Cloud Functions
  • D Cloud SQL
Explanation BigQuery allows querying large datasets without extensive local storage.
Q312

You are configuring a machine learning model for inferencing. What happens when you set a lower 'confidence threshold'?

  • A Fewer predictions are made.
  • B More predictions are returned.
  • C All predictions are ignored.
  • D Accuracy improves instantly.
Explanation A lower confidence threshold increases the number of predictions returned, potentially including less certain ones.
Q313

Which service is used for managing machine learning lifecycle in Google Cloud?

  • A AI Platform
  • B Cloud Functions
  • C Dataflow
  • D Compute Engine
Explanation AI Platform provides tools for model management; others focus on different functions.
Q314

A company needs to continuously analyze streaming data. Which Google Cloud service should they use?

  • A Cloud Bigtable
  • B Pub/Sub
  • C Cloud SQL
  • D Cloud Functions
Explanation Pub/Sub handles real-time messaging; others are less suited for streaming.
Q315

You are configuring a ML model and see unusual results. What happens if you alter the learning rate?

  • A Convergence time increases only
  • B Model performance may improve
  • C Training data becomes irrelevant
  • D Loss function errors reduce
Explanation Adjusting the learning rate can optimize learning; other options misrepresent effects of learning rate changes.
Q316

Which Google Cloud service is optimized for time-series data analysis?

  • A BigQuery
  • B Cloud Spanner
  • C Cloud Functions
  • D Cloud Storage
Explanation BigQuery is designed for analytics, especially time-series data, while others serve different primary functions.
Q317

A company needs to deploy machine learning models at scale and minimize latency for predictions. Which Google Cloud service should they use?

  • A AI Platform Prediction
  • B Dataflow
  • C Firestore
  • D App Engine
Explanation AI Platform Prediction is specifically designed for model deployment and low-latency predictions, unlike the others.
Q318

You are configuring access to a Cloud Storage bucket for a machine learning application. What happens when you apply a 'deny all' policy to the IAM role?

  • A All users can access the bucket
  • B No users can access the bucket
  • C Only certain users can access
  • D It has no effect on access
Explanation A 'deny all' policy completely restricts access, while the others misrepresent the IAM behavior under deny policies.
Q319

Which service is ideal for real-time data processing?

  • A Cloud Pub/Sub
  • B Cloud Storage
  • C Cloud Bigtable
  • D Cloud Functions
Explanation Cloud Pub/Sub supports real-time messaging, unlike the others.
Q320

A company needs to securely share data between two Google Cloud projects. What should they use?

  • A Cloud Interconnect
  • B VPC Peering
  • C Shared VPC
  • D Cloud IAM roles
Explanation Shared VPC allows for secure resource sharing between projects, while others do not specifically provide this feature.