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 231–240 of 495

Q231

You are configuring a model for very large datasets. What technique is most efficient?

  • A Batch processing
  • B Stress testing
  • C Incremental learning
  • D Real-time streaming
Explanation Incremental learning efficiently handles changes in large datasets, unlike batch processing which is less efficient for scalability.
Q232

Which service would you use for real-time data streaming and analysis?

  • A Cloud Pub/Sub
  • B Cloud Functions
  • C Cloud Storage
  • D BigQuery
Explanation Cloud Pub/Sub is designed for real-time streaming, while the others serve different purposes.
Q233

A company needs to perform automated model training as soon as new data is available. Which Google Cloud product is best suited for this?

  • A Cloud MLOps
  • B Cloud Dataflow
  • C AI Platform Pipelines
  • D Cloud Functions
Explanation AI Platform Pipelines allows for automated ML workflows, unlike the other options.
Q234

What happens when you deploy a new version of your model in AI Platform?

  • A The old version is deleted
  • B The old version becomes inactive
  • C The new version takes priority immediately
  • D Both versions run concurrently
Explanation Both versions can run concurrently until traffic is directed to the new version, allowing smooth transitions.
Q235

Which Google Cloud service provides serverless microservices capabilities?

  • A Cloud Functions
  • B App Engine
  • C Compute Engine
  • D Kubernetes Engine
Explanation Cloud Functions enables event-driven execution of code without provisioning servers.
Q236

A company needs to analyze large datasets while minimizing query costs. Which database option should they consider?

  • A Bigtable
  • B Spanner
  • C BigQuery
  • D SQL
  • D Firestore
Explanation BigQuery provides a cost-effective analytics solution for large datasets, with on-demand pricing.
Q237

What happens when you increase the bandwidth of a Cloud Pub/Sub subscription?

  • A Higher message acknowledgment time
  • B Increased throughput for message consumption
  • C Reduced message retention period
  • D Decreased number of subscribers
Explanation Increasing bandwidth improves message consumption throughput, facilitating faster processing.
Q238

Which service is best for managing ML model versions?

  • A AI Platform Model Registry
  • B Cloud Functions
  • C Cloud Run
  • D BigQuery ML
Explanation AI Platform Model Registry is specifically designed for versioning ML models, while the others serve different purposes.
Q239

A company needs a real-time analytics solution for social media data. Which GCP service should they use?

  • A Cloud Pub/Sub
  • B Cloud Storage
  • C Cloud SQL
  • D BigQuery
Explanation Cloud Pub/Sub enables real-time data streaming and processing, unlike the storage and database solutions offered by the others.
Q240

You are configuring a machine learning model with TPU for training. What happens if the TPU outperforms the GPU but costs more?

  • A Initial cost outweighs performance benefits.
  • B TPUs are too expensive for any model.
  • C Long-term savings may justify cost.
  • D TPUs are only for specific tasks.
Explanation Choosing a TPU may lead to lower training times and thus ROI, regardless of initial cost, unlike the other misleading options.