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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Build and test applications	- Manage development environments 1. Build application artifacts 2. Implement CI/CD pipelines 3. Perform application testing
Topic 2: Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications to Google Kubernetes Engine 2. Manage application rollout strategies 3. Deploy applications using Cloud Run
Topic 3: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Configure logging and tracing 3. Analyze metrics and alerts
Topic 4: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design secure applications 2. Design resilient and scalable application architectures 3. Choose storage options for application data
Topic 5: Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Use messaging and event-driven services 2. Integrate with Google Cloud APIs 3. Implement authentication and authorization

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For the Google Certified Professional - Cloud Developer (Professional-Cloud-Developer) web-based practice exam no special software installation is required. Because it is a browser-based Google Certified Professional - Cloud Developer (Professional-Cloud-Developer) practice test. The web-based Google Certified Professional - Cloud Developer (Professional-Cloud-Developer) practice exam works on all operating systems like Mac, Linux, iOS, Android, and Windows.

Google Certified Professional - Cloud Developer Sample Questions (Q176-Q181):

NEW QUESTION # 176
You are developing an application component to capture user behavior data and stream the data to BigQuery. You plan to use the BigQuery Storage Write API. You need to ensure that the data that arrives in BigQuery does not have any duplicates. You want to use the simplest operational method to achieve this. What should you do?

A. Create a write stream in the default type.
B. Create a write stream in the committed type.
C. Configure a Pub/Sub topic. Use Cloud Run functions to subscribe to the topic and remove any duplicates.
D. Configure a Kafka cluster. Use a primary universally unique identifier (UUID) for duplicate messages.

Answer: A

Explanation:
https://cloud.google.com/bigquery/docs/write-api

NEW QUESTION # 177
Users are complaining that your Cloud Run-hosted website responds too slowly during traffic spikes. You want to provide a better user experience during traffic peaks. What should you do?

A. Package application configuration and static data into the application image during build time.
B. Perform as much work as possible in the background after the response has been returned to the user.
C. Read application configuration and static data from the database on application startup.
D. Ensure that timeout exceptions and errors cause the Cloud Run instance to exit quickly so a replacement instance can be started.

Answer: A

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/3-ways-optimize-cloud-run- response-times Instead of computing things upon startup, compute them lazily. The initialization of global variables always occurs during startup, which increases cold start time. Use lazy initialization for infrequently used objects to defer the time cost and decrease cold start times.

NEW QUESTION # 178
You are a developer at a large organization. You are deploying a web application to Google Kubernetes Engine (GKE). The DevOps team has built a CI/CD pipeline that uses Cloud Deploy to deploy the application to Dev Test, and Prod clusters in GKE. After Cloud Deploy successfully deploys the application to the Dev cluster you want to automatically promote it to the Test Cluster. How should you configure this process following Google-recommended best practices?

A. 1 Create a Cloud Build trigger that listens for SUCCEEDED Pub/Sub messages from the clouddeploy-operations topic.
2 Configure Cloud Build to include a step that promotes the application to the Test cluster
B. 1 Create a Cloud Build pipeline that uses the gke-deploy builder
2 Create a Cloud Build trigger that listens to SUCCEEDED Pub/Sub messages from the cloud-builds topic
C. 1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster
2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the cloud-builds topic
D. 1 Create a Cloud Function that calls the Google Cloud Deploy API to promote the application to the Test cluster
2 Configure this function to be triggered by SUCCEEDED Pub/Sub messages from the clouddeploy operations topic

Answer: C

Explanation:
3 Configure this pipeline to run a deployment step to the Test cluster

NEW QUESTION # 179
You are a SaaS provider deploying dedicated blogging software to customers in your Google Kubernetes Engine (GKE) cluster. You want to configure a secure multi-tenant platform to ensure that each customer has access to only their own blog and can't affect the workloads of other customers. What should you do?

A. Deploy a namespace per tenant and use Network Policies in each blog deployment.
B. Enable Application-layer Secrets on the GKE cluster to protect the cluster.
C. Build a custom image of the blogging software and use Binary Authorization to prevent untrusted image deployments.
D. Use GKE Audit Logging to identify malicious containers and delete them on discovery.

Answer: A

NEW QUESTION # 180
You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute. What should you do?

A. Use Stackdriver Trace to plot query execution time.
B. Use Stackdriver Monitoring to plot query execution times.
C. Use Stackdriver Trace to plot API execution time.
D. Use Stackdriver Monitoring to plot slot usage.

Answer: B

NEW QUESTION # 181
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