Your company has an application running as a Deployment in a Google Kubernetes Engine (GKE) cluster. When releasing new versions of the application via a rolling deployment, the team has been causing outages. The root cause of the outages is misconfigurations with parameters that are only used in production. You want to put preventive measures for this in the platform to prevent outages. What should you do?

• A.Configure liveness and readiness probes in the Pod specification.
• B.Configure health checks on the managed instance group.
• C.Create a Scheduled Task to check whether the application is available.
• D.Configure an uptime alert in Cloud Monitoring.

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Your company captures all web traffic data in Google Analytics 260 and stores it in BigQuery. Each country has its own dataset. Each dataset has multiple tables. You want analysts from each country to be able to see and query only the data for their respective countries.
How should you configure the access rights?

• A.Create a group per country. Add analysts to their respective country-groups. Create a single group
  'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery jobUser. Share the appropriate tables with view access with each respective analyst countrygroup.
• B.Create a group per country. Add analysts to their respective country-groups. Create a single group
  'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery jobUser. Share the appropriate dataset with view access with each respective analyst country-group.
• C.Create a group per country. Add analysts to their respective country-groups. Create a single group
  'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery dataViewer. Share the appropriate dataset with view access with each respective analyst country-group.
• D.Create a group per country. Add analysts to their respective country-groups. Create a single group
  'all_analysts', and add all country-groups as members. Grant the 'all-analysis' group the IAM role of BigQuery dataViewer. Share the appropriate table with view access with each respective analyst countrygroup.

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Your customer wants to do resilience testing of their authentication layer. This consists of a regional managed instance group serving a public REST API that reads from and writes to a Cloud SQL instance.
What should you do?

• A.Deploy intrusion detection software to your virtual machines to detect and log unauthorized access.
• B.Engage with a security company to run web scrapers that look your users' authentication data om malicious websites and notify you if any if found.
• C.Configure a read replica for your Cloud SQL instance in a different zone than the master, and then manually trigger a failover while monitoring KPIs for our REST API.
• D.Schedule a disaster simulation exercise during which you can shut off all VMs in a zone to see how your application behaves.

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For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?

• A.Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
• B.Google Cloud Storage, Google App Engine, Google Network Load Balancer
• C.Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
• D.Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

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Your organization requires that metrics from all applications be retained for 5 years for future analysis in possible legal proceedings. Which approach should you use?

• A.Grant the security team access to the logs in each Project.
• B.Configure Stackdriver Monitoring for all Projects, and export to BigQuery.
• C.Configure Stackdriver Monitoring for all Projects with the default retention policies.
• D.Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage.

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