Google Cloud
Google Cloud Certified – Generative AI Leader
PR000309
Trending
Become a certified Generative AI Leader with exam code PR000309 to enhance your AI skills in Google Cloud.
489 questions
0 views
Free
Questions 111–120 of 489
You are configuring AI models in Vertex AI. What happens if you set a higher temperature in generation?
-
A
Generates more random outputs
-
B
Increases execution speed
-
C
Reduces model accuracy
-
D
Decreases variety of responses
Explanation
Setting a higher temperature increases randomness in the generated outputs, while others incorrectly relate to performance or quality.
A company needs to analyze large-scale unstructured data. Which Google Cloud service should they use?
-
A
BigQuery
-
B
Cloud SQL
-
C
Cloud Storage
-
D
Firestore
Explanation
BigQuery is designed for large-scale data analysis, while other services cater to structured data or specific use cases.
What happens when you enable the 'always-on' feature in a Google Cloud Function?
-
A
Increases latency significantly
-
B
Reduces cold starts
-
C
Limits function execution time
-
D
Decreases scaling capability
Explanation
'Always-on' keeps the function warm, reducing cold starts that can delay execution.
You are configuring a VPC network in Google Cloud. What must each subnet in your VPC have?
-
A
A different CIDR range
-
B
The same firewall rules
-
C
Higher priority than others
-
D
An associated public IP
Explanation
Each subnet must have a unique CIDR range for proper routing and collision avoidance.
Which service enables scalable machine learning deployments?
-
A
Vertex AI
-
B
Cloud Functions
-
C
BigQuery ML
-
D
Cloud Run
Explanation
Vertex AI provides tools for deploying ML models at scale, while others focus on specific functions or data processes.
A company needs to analyze log data in real-time. Which Google Cloud service should they use?
-
A
Cloud Dataflow
-
B
Cloud Storage
-
C
Cloud Pub/Sub
-
D
BigQuery
Explanation
Cloud Dataflow allows for real-time analytics with streaming data, whereas the others serve different purposes.
What happens when you exceed the quotas for a Google Cloud project?
-
A
Services are immediately shut down
-
B
Requests are automatically throttled
-
C
You receive a warning email
-
D
All resources are deleted
Explanation
Requests are throttled to manage resource use, while the other options misrepresent the effects of exceeding quotas.
Which service allows you to create and manage APIs on Google Cloud?
-
A
Cloud Endpoints
-
B
Cloud Functions
-
C
Cloud Run
-
D
Compute Engine
Explanation
Cloud Endpoints is specifically designed for API management; the others serve different functions.
A company needs to securely store and access sensitive data. Which Google Cloud service is most appropriate?
-
A
Cloud Storage
-
B
Secret Manager
-
C
BigQuery
-
D
Firestore
Explanation
Secret Manager is tailored for securely storing sensitive information, unlike the others.
What happens when you exceed the quota for Google Cloud API requests?
-
A
Requests are queued automatically
-
B
You are charged extra fees
-
C
Requests will fail with errors
-
D
Your project is suspended
Explanation
Exceeding API quota results in errors, while the other options are incorrect consequences.