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| Section | Objectives |
|---|---|
| Topic 1: Deploying applications | - CI/CD pipelines - Containerization and deployment (Cloud Run, GKE) - Release management strategies |
| Topic 2: Integrating Google Cloud services | - API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL) |
| Topic 3: Designing cloud-native applications | - Application architecture design - Scalability and resiliency patterns - Microservices design principles |
| Topic 4: Ensuring application performance and reliability | - Performance optimization - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Fault tolerance and incident response |
| Topic 5: Building and testing applications | - Debugging and troubleshooting applications - Unit and integration testing strategies - Application development on Google Cloud |
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NEW QUESTION # 182
Your development team is using Cloud Build to promote a Node.js application built on App Engine from your staging environment to production. The application relies on several directories of photos stored in a Cloud Storage bucket named webphotos-staging in the staging environment. After the promotion, these photos must be available in a Cloud Storage bucket named webphotos-prod in the production environment. You want to automate the process where possible. What should you do?
A)
Manually copy the photos to webphotos-prod.
B)
Add a startup script in the application's app.yami file to move the photos from webphotos-staging to webphotos-prod.
C)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
D)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
Answer: D
Explanation:
Explanation
https://cloud.google.com/storage/docs/gsutil/commands/cp
NEW QUESTION # 183
You have decided to migrate your Compute Engine application to Google Kubernetes Engine. You need to build a container image and push it to Artifact Registry using Cloud Build. What should you do? (Choose two.) A) Run gcloud builds submit in the directory that contains the application source code.
B)
Run gcloud run deploy app-name --image gcr.io/$PROJECT_ID/app-name in the directory that contains the application source code.
C)
Run gcloud container images add-tag gcr.io/$PROJECT_ID/app-name gcr.io/$PROJECT_ID/app-name:latest in the directory that contains the application source code.
D)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:
E)
In the application source directory, create a file named cloudbuild.yaml that contains the following contents:
Answer: B,D
Explanation:
https://cloud.google.com/sdk/gcloud/reference/builds/submit
https://cloud.google.com/artifact-registry/docs/configure-cloud-build
NEW QUESTION # 184
You are tasked with using C++ to build and deploy a microservice for an application hosted on Google Cloud. The code needs to be containerized and use several custom software libraries that your team has built. You do not want to maintain the underlying infrastructure of the application.
How should you deploy the microservice?
Answer: C
NEW QUESTION # 185
You are deploying your application to a Compute Engine virtual machine instance with the Stackdriver Monitoring Agent installed. Your application is a unix process on the instance. You want to be alerted if the unix process has not run for at least 5 minutes. You are not able to change the application to generate metrics or logs.
Which alert condition should you configure?
Answer: D
Explanation:
https://cloud.google.com/monitoring/alerts/concepts-indepth
NEW QUESTION # 186
You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE).
Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices? (Choose two.)
Answer: B,D
Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity
NEW QUESTION # 187
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