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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Deploying applications	- Containerization and deployment (Cloud Run, GKE) - Release management strategies - CI/CD pipelines
Topic 2: Integrating Google Cloud services	- Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
Topic 3: Ensuring application performance and reliability	- Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization - Fault tolerance and incident response
Topic 4: Building and testing applications	- Debugging and troubleshooting applications - Unit and integration testing strategies - Application development on Google Cloud
Topic 5: Designing cloud-native applications	- Microservices design principles - Scalability and resiliency patterns - Application architecture design

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Google Certified Professional - Cloud Developer Sample Questions (Q196-Q201):

NEW QUESTION # 196
Your company has a BigQuery data mart that provides analytics information to hundreds of employees. One user of wants to run jobs without interrupting important workloads. This user isn't concerned about the time it takes to run these jobs. You want to fulfill this request while minimizing cost to the company and the effort required on your part.
What should you do?

A. Allow the user to run jobs when important workloads are not running.
B. Ask the user to run the jobs as batch jobs.
C. Create a separate project for the user to run jobs.
D. Add the user as a job.user role in the existing project.

Answer: B

Explanation:
https://cloud.google.com/bigquery/docs/running-queries#batch

NEW QUESTION # 197
You are analyzing your application's performance. You observe that certain Cloud Bigtable tables in your cluster are used much more than others, causing inconsistent application performance for end users. You discover that some tablets have large sections of similarly named row keys and are heavily utilized, while other tablets are running idle. You discover that a user's ZIP code is the first component of the row key, and your application is being heavily used by profiles originating from that ZIP code. You want to change how you generate row keys so that they are human readable and so that Cloud Bigtable demand is more evenly distributed within the cluster. What should you do?

A. Use serially generated integer values.
B. Use a subset of the MD5 hash of the row contents.
C. Use a concatenation of multiple human-readable attributes.
D. Use UNIX epoch-styled timestamps represented in milliseconds.

Answer: C

Explanation:
A is not correct because, depending on the distribution of the underlying values, serially generated integer values may lead to hotspotting.
B is correct because using a sufficient number of delimited attributes can provide sufficient spreading.
C is not correct because this is no longer a recommended best practice: it makes it difficult to troubleshoot issues.
D is not correct because timestamps are poor candidates for row keys, and in this case inadvertently lead to ID collisions if multiple updates happening in the same millisecond execute in close succession.
https://cloud.google.com/bigtable/docs/schema-design#types_of_row_keys
https://cloud.google.com/bigtable/docs/schema-design-time-
series#ensure_that_your_row_key_avoids_hotspotting

NEW QUESTION # 198
When evaluating an issue, which of the following is an empathetic and supportive closed question about updating software on an iOS device?

A. How to update your software is in the iPhone User's guide, why didn't you read it before using this phone?
B. Updating your software is extremely easy, why haven't you done so?
C. You do know you should always update your software, correct?
D. I notice that your iPhone software is not up to date; would you like me to walk you through updating the software?

Answer: D

NEW QUESTION # 199
Your development team has been asked to refactor an existing monolithic application into a set of composable microservices. Which design aspects should you implement for the new application? (Choose two.)

A. Implement a versioning scheme to permit future changes that could be incompatible with the current interface.
B. Ensure that sufficient instances of the microservice are running to accommodate the performance requirements.
C. Create an API contract agreement between the microservice implementation and microservice caller.
D. Develop the microservice code in the same programming language used by the microservice caller.
E. Require asynchronous communications between all microservice implementations and microservice callers.

Answer: A,C

NEW QUESTION # 200
Before promoting your new application code to production, you want to conduct testing across a variety of different users. Although this plan is risky, you want to test the new version of the application with production users and you want to control which users are forwarded to the new version of the application based on their operating system. If bugs are discovered in the new version, you want to roll back the newly deployed version of the application as quickly as possible.
What should you do?

A. Deploy your application on Compute Engine. Use Traffic Director to direct a subset of user traffic to the new version based on predefined weights.
B. Deploy your application on Cloud Run. Use traffic splitting to direct a subset of user traffic to the new version based on the revision tag.
C. Deploy your application on App Engine. Use traffic splitting to direct a subset of user traffic to the new version based on the IP address.
D. Deploy your application on Google Kubernetes Engine with Anthos Service Mesh. Use traffic splitting to direct a subset of user traffic to the new version based on the user-agent header.

Answer: D

NEW QUESTION # 201
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