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 341–350 of 495

Q341

A company needs to ensure its machine learning model is not biased against any demographic group. What approach should they take first?

  • A Increase dataset size
  • B Bias detection techniques
  • C Model optimization
  • D Feature selection
Explanation Bias detection is crucial for addressing demographic bias before model adjustments.
Q342

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

  • A Faster convergence towards minimum
  • B Increased model stability
  • C Risk of overshooting minima
  • D Reduces accuracy significantly
Explanation A higher learning rate can cause the model to overshoot minima, leading to instability.
Q343

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

  • A Cloud AI Platform
  • B BigQuery
  • C Cloud Functions
  • D Cloud Storage
Explanation Cloud AI Platform is designed for model deployment; BigQuery is for data analysis, Cloud Functions executes code, and Cloud Storage is for file storage.
Q344

A company needs to build a recommendation system. Which Google Cloud service would best provide real-time predictions?

  • A Firestore
  • B Cloud Run
  • C BigQuery ML
  • D AI Platform Predictions
Explanation AI Platform Predictions allows real-time predictions, while Firestore and Cloud Run are not designed for machine learning predictions, and BigQuery ML is suited for batch predictions.
Q345

What happens when a deployed model on AI Platform is hit with an unexpected spike in requests?

  • A It crashes immediately
  • B It scales up automatically
  • C It produces errors
  • D It queues requests indefinitely
Explanation AI Platform scales horizontally to handle traffic spikes; it does not crash or queue indefinitely and handles errors based on implementation.
Q346

Which service is best for large-scale data preprocessing?

  • A Cloud Dataflow
  • B Cloud Functions
  • C Cloud Storage
  • D BigQuery
Explanation Cloud Dataflow efficiently processes and transforms large data sets, while others are less suitable for preprocessing.
Q347

A company needs to implement AutoML but has limited development resources. What is the best approach?

  • A Use AI Platform's pre-trained models
  • B Hire many data scientists
  • C Build everything from scratch
  • D Specify a custom ML model
Explanation Using pre-trained models is effective and saves resources compared to building or customizing models.
Q348

You are configuring an AI model training job in Google Cloud. What happens when using insufficient training data?

  • A The model locks up
  • B The model overfits
  • C Training fails instantly
  • D The model has lower cost
Explanation Insufficient data often leads to overfitting, as the model learns noise instead of patterns.
Q349

Which service is optimal for training machine learning models at scale?

  • A Google Kubernetes Engine
  • B AI Platform Training
  • C Cloud Functions
  • D BigQuery ML
Explanation AI Platform Training is designed specifically for ML model training, while the others serve different purposes.
Q350

A company needs to serve real-time predictions to users. Which GCP service should they use?

  • A Cloud Run
  • B AI Platform Prediction
  • C Cloud Pub/Sub
  • D Cloud Storage
Explanation AI Platform Prediction allows real-time predictions, while the other options do not focus on model serving.