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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Integrating applications with Google Cloud services	21%	- Integrating with data and storage services 1. Working with relational, NoSQL, and in-memory databases 2. Using object storage and file storage solutions 3. Implementing messaging and event streaming - Implementing application performance monitoring 1. Instrumenting code for metrics and traces 2. Using operations suite tools - Consuming Google Cloud APIs and services 1. Enabling and managing APIs 2. Using client libraries, REST, and gRPC 3. Integrating with AI/ML and generative AI services
Configuring cloud-native applications for deployment	24%	- Deploying applications to Google Kubernetes Engine 1. Managing configurations and secrets 2. Configuring scaling, auto-scaling, and updates 3. Creating and managing workloads and services - Deploying to App Engine or Cloud Functions 1. Managing versions and traffic splitting 2. Configuring serverless deployments - Deploying applications to Cloud Run 1. Configuring scaling, networking, and security 2. Deploying from source code or containers 3. Integrating with event-driven services
Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing secure applications 1. Securing data in transit and at rest 2. Applying security best practices and compliance requirements 3. Implementing authentication and authorization mechanisms - Designing for observability and monitoring 1. Designing for debugging and troubleshooting 2. Planning logging, metrics, and tracing strategies - Designing high-performing applications and APIs 1. Designing for high availability and fault tolerance 2. Optimizing for latency and throughput 3. Selecting appropriate compute and deployment platforms
Building and testing applications	23%	- Testing applications 1. Using AI-assisted development tools 2. Writing unit, integration, and end-to-end tests 3. Automating testing in CI/CD workflows - Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations - Building applications and containers 1. Implementing containerization best practices 2. Using Cloud Build and Artifact Registry 3. Configuring build pipelines and provenance

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Google Certified Professional - Cloud Developer Sample Questions (Q295-Q300):

NEW QUESTION # 295
You work for a financial services company that has a container-first approach. Your team develops microservices applications. You have a Cloud Build pipeline that creates a container image, runs regression tests, and publishes the image to Artifact Registry. You need to ensure that only containers that have passed the regression tests are deployed to GKE clusters. You have already enabled Binary Authorization on the GKE clusters. What should you do next?

A. Set the Pod Security Standard level to Restricted for the relevant namespaces. Digitally sign the container images that have passed the regression tests as a step in the Cloud Build pipeline.
B. Create an attestor and a policy. Create an attestation for the container images that have passed the regression tests as a step in the Cloud Build pipeline.
C. Create an attestor and a policy. Run a vulnerability scan to create an attestation for the container image as a step in the Cloud Build pipeline.
D. Deploy Voucher Server and Voucher Client components. After a container image has passed the regression tests, run Voucher Client as a step in the Cloud Build pipeline.

Answer: B

Explanation:
Attestation: By creating an attestation for container images that have successfully passed regression tests, you can enforce deployment policies that only allow images with valid attestations to be deployed to your GKE clusters.
Integration with Binary Authorization: This approach directly integrates with Binary Authorization, allowing it to enforce the deployment policy based on the attestations created during the Cloud Build pipeline.
Control and Security: This method ensures that only thoroughly tested and verified images are deployed, enhancing the security and reliability of your applications.
Options "Deploy Voucher Server and Voucher Client components. After a container image has passed the regression tests, run Voucher Client as a step in the Cloud Build pipeline" and "Set the Pod Security Standard level to Restricted for the relevant namespaces. Digitally sign the container images that have passed the regression tests as a step in the Cloud Build pipeline" do not specifically leverage the attestation mechanism necessary for Binary Authorization. Option
"Create an attestor and a policy. Run a vulnerability scan to create an attestation for the container image as a step in the Cloud Build pipeline" focuses on vulnerability scanning, which, while important, does not fulfill the requirement of ensuring that only tested images are deployed.

NEW QUESTION # 296
Your team develops services that run on Google Cloud. You want to process messages sent to a Pub/Sub topic, and then store them. Each message must be processed exactly once to avoid duplication of data and any data conflicts. You need to use the cheapest and most simple solution. What should you do?

A. Process the messages with a Dataflow streaming pipeline using Apache Beam's PubSubIO package, and write the output to storage.
B. Process the messages with a Dataproc job, and write the output to storage.
C. Retrieve the messages with a Dataflow streaming pipeline, store them in Cloud Bigtable, and use another Dataflow streaming pipeline to deduplicate messages.
D. Process the messages with a Cloud Function, and write the results to a BigQuery location where you can run a job to deduplicate the data.

Answer: A

Explanation:
Explanation
https://cloud.google.com/dataflow/docs/concepts/streaming-with-cloud-pubsub

NEW QUESTION # 297
Your team develops services that run on Google Kubernetes Engine. Your team's code is stored in Cloud Source Repositories. You need to quickly identify bugs in the code before it is deployed to production. You want to invest in automation to improve developer feedback and make the process as efficient as possible.
What should you do?

A. Use Cloud Build to automate building container images from code based on forked versions.
B. Use Spinnaker to automate deploying container images to the production environment.
C. Use Cloud Build to automate building container images from code based on Git tags.
D. Use Spinnaker to automate building container images from code based on Git tags.

Answer: C

NEW QUESTION # 298
You are the lead developer for a company that provides a financial risk calculation API. The API is built on Cloud Run and has a gRPC interface. You frequently develop optimizations to the risk calculators. You want to enable these optimizations for select customers who registered to try out the optimizations prior to rolling out the optimization to all customers. Your CI/CD pipeline has built a new image and stored it in the Artifact Registry. Which rollout strategy should you use?

A. Migrate the traffic to the new service by setting Cloud Run's traffic split based on the percentage of registered customers.
B. Migrate the traffic to the new service and enable session affinity for Cloud Run.
C. Migrate the traffic to the new service by using a blue/green deployment approach.
D. Migrate the traffic to the new service by using a feature flag for registered customers.

Answer: D

Explanation:
https://cloud.google.com/blog/products/serverless/cloud-run-now-supports-gradual-rollouts-and- rollbacks

NEW QUESTION # 299
Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3 different website designs.
Which approach should you use?

A. Deploy the website on App Engine as three separate services.
B. Deploy the website on Cloud Functions and use traffic splitting.
C. Deploy the website on App Engine and use traffic splitting.
D. Deploy the website on Cloud Functions as three separate functions.

Answer: C

Explanation:
Reference: https://cloud.google.com/appengine/docs/standard/python/splitting-traffic

NEW QUESTION # 300
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