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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q159-Q164):

NEW QUESTION # 159
Your company has a data warehouse that keeps your application information in BigQuery. The BigQuery data warehouse keeps 2 PBs of user data. Recently, your company expanded your user base to include EU users and needs to comply with these requirements:
Your company must be able to delete all user account information upon user request.
All EU user data must be stored in a single region specifically for EU users.
Which two actions should you take? (Choose two.)

A. Re-upload your data using to a Cloud Dataflow pipeline by filtering your user records out.
B. Create a dataset in the EU region that will keep information about EU users only.
C. Create a Cloud Storage bucket in the EU region to store information for EU users only.
D. Use DML statements in BigQuery to update/delete user records based on their requests.
E. Use BigQuery federated queries to query data from Cloud Storage.

Answer: C,D

Explanation:
Reference: https://cloud.google.com/solutions/bigquery-data-warehouse

NEW QUESTION # 160
You plan to deploy a new application revision with a Deployment resource to Google Kubernetes Engine (GKE) in production. The container might not work correctly. You want to minimize risk in case there are issues after deploying the revision. You want to follow Google-recommended best practices. What should you do?

A. Convert the Deployment to a StatefulSet, and perform a rolling update with a PodDisruptionBudget of 80%.
B. Perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.
C. Perform a rolling update with a PodDisruptionBudget of 80%.
D. Convert the Deployment to a StatefulSet, and perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.

Answer: C

Explanation:
https://cloud.google.com/blog/products/containers-kubernetes/ensuring-reliability-and-uptime-for- your-gke-cluster Setting PodDisruptionBudget ensures that your workloads have a sufficient number of replicas, even during maintenance. Using the PDB, you can define a number (or percentage) of pods that can be terminated, even if terminating them brings the current replica count below the desired value. With PDB configured, Kubernetes will drain a node following the configured disruption schedule. New pods will be deployed on other available nodes. This approach ensures Kubernetes schedules workloads in an optimal way while controlling the disruption based on the PDB configuration.

NEW QUESTION # 161
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositories repository. Your application is built on every commit to the master branch.
You want to release specific commits made to the master branch in an automated method.
What should you do?

A. Create a build trigger on a Git branch name pattern.
Use a Git branch naming convention for new releases.
B. Commit your source code to a second Cloud Source Repositories repository with a second Cloud Build trigger.Use this repository for new releases only.
C. Manually trigger the build for new releases.
D. Create a build trigger on a Git tag pattern.
Use a Git tag convention for new releases.

Answer: D

Explanation:
Your application is built on every commit to the master branch. You want to release SPECIFIC commits made to the master branch in an automated method.
https://cloud.google.com/source-repositories/docs/integrating-with-cloud- build#create_a_build_triggers/

NEW QUESTION # 162
You are building a Workflow to process complex data analytics for your application. You plan to use the Workflow to execute a Cloud Run job while following Google-recommended practices.
What should you do?

A. Use the Cloud Run Admin API connector to execute the Cloud Run job within the Workflow.
B. Configure an Eventarc trigger to invoke the Cloud Run job, and include the trigger in a step of the Workflow.
C. Determine the entry point of the Cloud Run job, and send an HTTP request from the Workflow.
D. Create a Pub/Sub topic, and subscribe the Cloud Run job to the topic.

Answer: A

Explanation:
Using the Cloud Run Admin API connector within Workflows is the Google-recommended way to directly execute a Cloud Run job from a Workflow, providing secure and managed integration.

NEW QUESTION # 163
You are designing a schema for a Cloud Spanner customer database. You want to store a phone number array field in a customer table. You also want to allow users to search customers by phone number.
How should you design this schema?

A. Create a table named Customers.
Add an Array field in a table that will hold phone numbers for the customer.
Create a secondary index on the Array field.
B. Create a table named Customers as a parent table.
Create a table named Phones, and interleave this table into the Customer table.
Create an index on the phone number field in the Phones table.
C. Create a table named Customers.
Add an Array field in a table that will hold phone numbers for the customer.
D. Create a table named Customers.
Create a table named Phones.
Add a CustomerId field in the Phones table to find the CustomerId from a phone number.

Answer: B

Explanation:
https://cloud.google.com/spanner/docs/schema-and-data-
model#creating_a_hierarchy_of_interleaved_tables

NEW QUESTION # 164
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