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
Start Mock Test Timed · Full-length · Scored

Questions 201–210 of 495

Q201

You are configuring a machine learning model in AI Platform. What happens when you set a higher learning rate?

  • A Slower training time
  • B Faster convergence
  • C Increased risk of overshooting
  • D Decreased accuracy
Explanation A higher learning rate can cause overshooting of minima; the others cannot happen as a direct result.
Q202

Which service is primarily used for serving machine learning models in Google Cloud?

  • A AI Platform
  • B BigQuery
  • C Cloud Functions
  • D Dataflow
Explanation AI Platform is specifically designed for model serving, while the others serve different functions.
Q203

A company needs to manage user access rights for their ML project. Which Google Cloud feature should they use?

  • A Cloud Functions
  • B IAM Roles
  • C Cloud Security Scanner
  • D BigQuery Permissions
Explanation IAM Roles provide fine-grained access control for users in Google Cloud.
Q204

What happens when you increase the model training dataset size without adjusting the model complexity?

  • A Improved model accuracy
  • B Overfitting risk increases
  • C Training time decreases
  • D Model might underfit
Explanation Without adjusting complexity, overfitting risk increases despite larger data.
Q205

Which service is best for real-time data processing in Google Cloud?

  • A Cloud Pub/Sub
  • B Cloud Functions
  • C Cloud Firestore
  • D BigQuery
Explanation Cloud Pub/Sub enables real-time data streaming, unlike the others which focus on different use cases.
Q206

A company needs to monitor and manage machine learning models effectively. What should they use?

  • A AI Platform
  • B Cloud SQL
  • C Cloud Storage
  • D Compute Engine
Explanation AI Platform provides model monitoring and management features, while the others serve different purposes.
Q207

You are configuring a machine learning model for deployment. What happens when you choose the AutoML option?

  • A Full control over hyperparameters
  • B Automatic feature selection and tuning
  • C Create your own model architecture
  • D Immediate manual optimization required
Explanation AutoML automates feature selection and tuning; the other options imply a manual approach.
Q208

Which Google Cloud service is best for real-time data processing?

  • A Cloud Pub/Sub
  • B Cloud Functions
  • C BigQuery
  • D Cloud Storage
Explanation Cloud Pub/Sub is designed for real-time messaging, while the others serve different purposes.
Q209

A company needs to transform data in Cloud Storage and load it into BigQuery. Which tool can automate this workflow?

  • A Cloud Dataflow
  • B Compute Engine
  • C Cloud Functions
  • D Cloud Run
Explanation Cloud Dataflow is designed for ETL processes, making it ideal for this task.
Q210

What happens when an AI Platform model is deployed without versioning?

  • A Multiple versions coexist
  • B Automated rollback occurs
  • C You cannot update the model
  • D The latest model overrides previous versions
Explanation The latest model without versioning replaces previous ones, leading to loss of access to older models.