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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Building and testing applications	- Unit and integration testing strategies - Debugging and troubleshooting applications - Application development on Google Cloud
Integrating Google Cloud services	- Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
Deploying applications	- Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines - Release management strategies
Ensuring application performance and reliability	- Performance optimization - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Fault tolerance and incident response
Designing cloud-native applications	- Application architecture design - Microservices design principles - Scalability and resiliency patterns

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Google Certified Professional - Cloud Developer Sample Questions (Q149-Q154):

NEW QUESTION # 149
You are monitoring a web application that is written in Go and deployed in Google Kubernetes Engine. You notice an increase in CPU and memory utilization. You need to determine which source code is consuming the most CPU and memory resources. What should you do?

A. Import OpenTelemetry and Trace export packages into your application, and create the trace provider.
Review the latency data for your application on the Trace overview page, and identify where bottlenecks are occurring.
B. Create a Cloud Logging query that gathers the web application's logs. Write a Python script that calculates the difference between the timestamps from the beginning and the end of the application's longest functions to identity time-intensive functions.
C. Import the Cloud Profiler package into your application, and initialize the Profiler agent. Review the generated flame graph in the Google Cloud console to identify time-intensive functions.
D. Download, install, and start the Snapshot Debugger agent in your VM. Take debug snapshots of the functions that take the longest time. Review the call stack frame, and identify the local variables at that level in the stack.

Answer: C

NEW QUESTION # 150
You want to upload files from an on-premises virtual machine to Google Cloud Storage as part of a data migration. These files will be consumed by Cloud DataProc Hadoop cluster in a GCP environment.
Which command should you use?

A. gcloud cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
B. gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
C. hadoop fs cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
D. gcloud dataproc cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

Answer: B

Explanation:
Explanation
The gsutil cp command allows you to copy data between your local file. storage. boto files generated by running "gsutil config"

NEW QUESTION # 151
HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.
Which IP strategy should they use?

A. Create an auto mode subnet.
B. Create multiple peered VPCs.
C. Create manual subnets.
D. Provision a single instance for NAT.

Answer: C

NEW QUESTION # 152
You want to create "fully baked" or "golden" Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production). What should you do?

A. Embed the appropriate database connection string in the image. Create a different image for each environment.
B. When creating the Compute Engine instance, add a tag with the name of the database to be connected. In your application, query the Compute Engine API to pull the tags for the current instance, and use the tag to construct the appropriate database connection string.
C. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, read the "DATABASE" environment variable, and use the value to connect to the appropriate database.
D. When creating the Compute Engine instance, create a metadata item with a key of "DATABASE" and a value for the appropriate database connection string. In your application, query the metadata server for the "DATABASE" value, and use the value to connect to the appropriate database.

Answer: C

NEW QUESTION # 153
You are designing a schema for a table that will be moved from MySQL to Cloud Bigtable. The MySQL table is as follows:

How should you design a row key for Cloud Bigtable for this table?

A. Set Event_timestamp_Account_id as a key.
B. Set Account_id_Event_timestamp as a key.
C. Set Account_id as a key.
D. Set Event_timestamp as a key.

Answer: A

NEW QUESTION # 154
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