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 101–110 of 495

Q101

A company needs to analyze large volumes of streaming data in real time. Which Google Cloud solution should they implement?

  • A BigQuery
  • B Cloud Pub/Sub
  • C Cloud Dataflow
  • D Cloud Functions
Explanation Cloud Dataflow is designed for real-time data processing, while the others serve different or static data needs.
Q102

What happens when a model’s hyperparameters are set too optimally before training?

  • A Underfitting occurs
  • B Overfitting may happen
  • C No effect at all
  • D Training is accelerated significantly
Explanation Overfitting can occur if hyperparameters are too optimal, as models become overly complex for training data.
Q103

Which service is best for converting video files in Google Cloud?

  • A Cloud Functions
  • B Cloud Dataflow
  • C Transcoder API
  • D Cloud Pub/Sub
Explanation The Transcoder API is specifically designed for video file conversion, while the other options serve different purposes.
Q104

A company needs to analyze user activity data in real-time. Which Google Cloud service should they use?

  • A BigQuery
  • B Pub/Sub
  • C Cloud Functions
  • D Cloud Storage
Explanation Pub/Sub allows for real-time messaging and processing of activity data, whereas the other options are not optimized for real-time analysis.
Q105

You are configuring a Machine Learning model on Google Cloud. What happens if you set a significantly high learning rate?

  • A Model will train faster
  • B Model may diverge
  • C Convergence will be guaranteed
  • D No effect on training
Explanation A high learning rate can cause the model's loss function to oscillate, leading to divergence rather than convergence.
Q106

Which Google Cloud service is best for deploying machine learning models?

  • A Google Kubernetes Engine
  • B Cloud Functions
  • C AI Platform
  • D Cloud Storage
Explanation AI Platform is specifically designed for training and deploying ML models, while others serve different purposes.
Q107

A company needs to analyze real-time data streams for predictions. Which Google Cloud service should they use?

  • A BigQuery
  • B Cloud Pub/Sub
  • C Dataflow
  • D Cloud Spanner
Explanation Dataflow allows real-time processing of data streams effectively, whereas others are more suited to batch processing or data storage.
Q108

What happens when you enable AutoML for a dataset in Google Cloud?

  • A Manual tuning of models is required
  • B Google does all tuning automatically
  • C Only standard models are used
  • D Training time is halved
Explanation AutoML automates the model selection and tuning process, unlike manual tuning or restricted model selection.
Q109

Which service is used for real-time data streaming?

  • A Google Cloud Pub/Sub
  • B Google Cloud Storage
  • C Google BigQuery
  • D Google Cloud Functions
Explanation Cloud Pub/Sub is designed for real-time messaging; the others are not primarily for streaming.
Q110

A company needs to analyze structured data quickly using SQL. Which option should they choose?

  • A Google Cloud Dataproc
  • B Google BigQuery
  • C Google Cloud Run
  • D Google Cloud Dataflow
Explanation BigQuery is optimized for fast SQL queries on large datasets; others serve different use cases.