Which Google Cloud service is optimal for handling large-scale data processing?
ABigQuery
BCompute Engine
CCloud Storage
DApp Engine
Explanation
BigQuery is designed for scalable data analysis while the others serve different purposes.
Q293
A company needs to predict customer churn using historical data. Which tool is best suited for this task?
AAutoML Tables
BCloud Dataproc
CPub/Sub
DDataflow
Explanation
AutoML Tables provides machine learning capabilities tailored for structured data prediction tasks.
Q294
What happens when you overflood a bucket in Google Cloud Storage with write requests?
ABottlenecking and latency increase
BInsufficient permissions error
CRequests are processed instantly
DBucket gets deleted automatically
Explanation
Overloading requests can lead to increased latency and bottlenecking, impacting performance, unlike the other options.
Q295
Which service is best for automating machine learning model deployment?
AGoogle Cloud AI Platform
BGoogle Cloud Storage
CGoogle BigQuery
DGoogle Cloud Functions
Explanation
AI Platform automates model deployment; Storage and BigQuery are for storage and analytics, while Functions execute code in response to events.
Q296
A company needs to manage user access across multiple Google Cloud projects. Which service should they use?
AIAM
BCloud Identity
CResource Manager
DCloud Run
Explanation
IAM allows management of user permissions across projects; Cloud Identity is for user identity management, and Resource Manager manages project resources.
Q297
What happens when you set a higher learning rate in gradient descent?
AFaster convergence to local minimum
BNo change in training
CPossibility of overshooting minima
DSlower convergence rates overall
Explanation
A higher learning rate can cause overshooting the minimum; options A and D are incorrect because they imply stability, and B underestimates the effect.
Q298
Which Google Cloud service can automatically scale machine learning models?
AAI Platform
BBigQuery
CCloud Functions
DDataflow
Explanation
AI Platform provides built-in scaling for ML models; others do not focus on ML scaling.
Q299
A company needs to pick the appropriate AI model for predicting customer churn based on historical data points. What should be prioritized in model selection?
AModel interpretability
BTraining time
CData volume used
DInput feature variety
Explanation
Model interpretability is critical for business understanding; the other options are important but secondary in this context.
Q300
You are configuring a Cloud Pub/Sub topic for event-driven architecture. What happens if you set a retention duration of 24 hours?
AMessages expire after 24 hours
BMessages are kept indefinitely
CMessages delayed for 24 hours
DOnly subscribers see messages
Explanation
Messages will expire after the specified retention duration; others do not reflect the behavior correctly.