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 161–170 of 495

Q161

A company needs to build a machine learning model with minimal setup and high scalability. Which Google Cloud service is most appropriate?

  • A Google BigQuery ML
  • B Google AI Platform
  • C Google Cloud AutoML
  • D Google Cloud Functions
Explanation Google Cloud AutoML requires minimal setup and scales automatically, unlike the others which need more configuration or are not specifically for building models.
Q162

What happens when you significantly increase the 'max_steps' parameter during training in TensorFlow?

  • A Faster convergence
  • B Overfitting risk increases
  • C Decreased model performance
  • D No change in performance
Explanation Increasing 'max_steps' can lead to overfitting as the model may learn noise in the training data, while the other options are less likely outcomes.
Q163

Which service is used for real-time data streaming in Google Cloud?

  • A Pub/Sub
  • B Cloud Functions
  • C BigQuery
  • D Cloud Storage
Explanation Pub/Sub enables real-time messaging, while others serve different purposes.
Q164

A company needs to deploy a machine learning model on-premises and leverage its cloud infrastructure for scalability when necessary. Which Google Cloud service should they choose?

  • A AI Platform
  • B Cloud Functions
  • C Vertex AI
  • D App Engine
Explanation Vertex AI supports hybrid deployment, while the other options do not.
Q165

What happens when you set a lower priority for a Google Cloud Dataflow job?

  • A Job runs faster
  • B Job is stopped immediately
  • C Job consumes fewer resources
  • D Job could be preempted
Explanation Lower priority jobs can be preempted for higher priority tasks, unlike the other options.
Q166

Which Google Cloud service is primarily used for large-scale data processing?

  • A BigQuery
  • B Cloud Functions
  • C App Engine
  • D Cloud Storage
Explanation BigQuery is designed for large-scale analytics, unlike the others.
Q167

A financial services company needs to ensure that all sensitive data is encrypted both at rest and in transit. Which Google Cloud service should they use to automatically manage encryption keys?

  • A Cloud Key Management Service
  • B Cloud Identity
  • C Cloud Pub/Sub
  • D Cloud SQL
Explanation Cloud Key Management Service manages encryption keys, unlike the other options.
Q168

You are configuring an AutoML model for image classification. What happens if your training dataset contains significantly fewer labeled images than the validation dataset?

  • A Model performance will improve
  • B Model training will fail
  • C Model performance may degrade
  • D No effect on model accuracy
Explanation An imbalanced dataset can lead to overfitting in the model.
Q169

Which service is designed for data labeling in GCP?

  • A Cloud Data Labeling Service
  • B BigQuery
  • C Cloud AutoML
  • D Cloud Dataproc
Explanation Cloud Data Labeling Service specifically supports data labeling; other options do not serve this purpose directly.
Q170

A company needs to analyze geospatial data in real time. Which GCP service should they use?

  • A Cloud Pub/Sub
  • B BigQuery with GIS features
  • C Cloud Storage
  • D Dataflow
Explanation BigQuery with GIS features supports geospatial analysis, while others may not handle such data as effectively.