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NEW QUESTION 25
Your organization recently adopted a container-based workflow for application development. Your team develops numerous applications that are deployed continuously through an automated build pipeline to a Kubernetes cluster in the production environment. The security auditor is concerned that developers or operators could circumvent automated testing and push code changes to production without approval. What should you do to enforce approvals?
- A. Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.
- B. Use an Admission Controller to verify that incoming requests originate from approved sources.
- C. Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.
- D. Configure the build system with protected branches that require pull request approval.
Answer: D
NEW QUESTION 26
Your application services run in Google Kubernetes Engine (GKE). You want to make sure that only images from your centrally-managed Google Container Registry (GCR) image registry in the altostrat-images project can be deployed to the cluster while minimizing development time. What should you do?
- A. Create a custom builder for Cloud Build that will only push images to gcr.io/altostrat-images.
- B. Add a tag to each image in gcr.io/altostrat-images and check that this tag is present when the image is deployed.
- C. Add logic to the deployment pipeline to check that all manifests contain only images from gcr.io/altostrat-images.
- D. Use a Binary Authorization policy that includes the whitelist name pattern gcr.io/attostrat-images/.
Answer: B
NEW QUESTION 27
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?
- A. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.
- B. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
- C. Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.
- D. Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.
Answer: A
Explanation:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery
NEW QUESTION 28
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?
- A. A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls
- B. An availability SLI: the ratio of healthy microservices to the total number of microservices
- C. A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes
- D. A quality SLI: the ratio of non-degraded responses to total responses
Answer: A
NEW QUESTION 29
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