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 81–90 of 495

Q81

You are configuring a neural network for image classification. What happens if you use a very high learning rate?

  • A Model trains faster with better results
  • B Model diverges and fails to learn
  • C Model achieves optimal accuracy quickly
  • D Model requires no validation set
Explanation A high learning rate may lead to divergence and ineffective training; faster training (A) and optimal accuracy (C) are misinterpretations, while (D) misrepresents model evaluation needs.
Q82

Which service allows for automated ML model training and evaluation?

  • A AI Platform
  • B BigQuery
  • C Firestore
  • D Cloud Functions
Explanation AI Platform provides tools for automated training, while others serve different purposes like data storage or functions execution.
Q83

A company needs real-time data analytics on streaming data. Which Google Cloud offering should they use?

  • A Cloud Storage
  • B Dataflow
  • C Cloud Pub/Sub
  • D BigQuery
Explanation Dataflow is designed for real-time streaming analytics, whereas Cloud Storage is for data storage and the others aren't focused on real-time analytics.
Q84

What happens when you set high learning rates in gradient descent?

  • A Convergence within few iterations
  • B Finding the global minimum
  • C Divergence and oscillation
  • D No effect on results
Explanation High learning rates can cause divergence or oscillations in model training, while low rates lead to slow convergence.
Q85

Which AI service is best for building conversational agents?

  • A Dialogflow
  • B AutoML Tables
  • C Vertex AI
  • D Compute Engine
Explanation Dialogflow specializes in creating chatbots and conversational agents, while the others serve different purposes such as model training or compute resources.
Q86

A company needs to analyze large datasets efficiently. Which Google Cloud service should they use?

  • A BigQuery
  • B Cloud Storage
  • C Pub/Sub
  • D Cloud Functions
Explanation BigQuery is tailored for analyzing large datasets quickly, unlike the others which serve different roles like data storage or event handling.
Q87

You are configuring a machine learning model for deployment. What should you prioritize to improve inference speed?

  • A Model accuracy
  • B Model complexity
  • C Model optimization
  • D Data preprocessing
Explanation Prioritizing model optimization directly impacts inference speed, while the others can negatively affect performance or are design aspects.
Q88

Which service allows real-time data streaming processing?

  • A Cloud Pub/Sub
  • B Cloud Storage
  • C Cloud Functions
  • D BigQuery
Explanation Cloud Pub/Sub is designed for real-time messaging, enabling streaming data processing, unlike the others.
Q89

A company needs to secure sensitive data in Cloud Storage. What should they implement?

  • A IAM roles and policies
  • B Simple Upload
  • C Public access
  • D JSON parsing
Explanation IAM roles and policies help control who can access sensitive data in Cloud Storage.
Q90

What happens when you set a lower learning rate in your model's training?

  • A Faster convergence
  • B More accurate training
  • C Longer training time
  • D Overfitting occurs quickly
Explanation A lower learning rate can lead to longer training times due to smaller updates.