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

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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.)

• A.Use the service account attached to the GKE node.
• B.Enable Workload Identity in the cluster via the gcloud command-line tool.
• C.Access the Google service account keys from a secret management service.
• D.Store the Google service account keys in a central secret management service.
• E.Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.

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You are developing an online gaming platform as a microservices application on Google Kubernetes Engine (GKE). Users on social media are complaining about long loading times for certain URL requests to the application. You need to investigate performance bottlenecks in the application and identify which HTTP requests have a significantly high latency span in user requests. What should you do9

• A.Instrument your microservices by installing the Open Telemetry tracing package. Update your application code to send traces to Trace for inspection and analysis. Create an analysis report on Trace to analyze user requests
• B.Update your microservices lo log HTTP request methods and URL paths to STDOUT Use the logs router to send container logs to Cloud Logging. Create fillers in Cloud Logging to evaluate the latency of user requests across different methods and URL paths.
• C.Install tcpdiimp on your GKE nodes. Run tcpdunm-- to capture network traffic over an extended period of time to collect data. Analyze the data files using Wireshark to determine the cause of high latency
• D.Configure GKE workload metrics using kubect1. Select all Pods to send their metrics to Cloud Monitoring. Create a custom dashboard of application metrics in Cloud Monitoring to determine performance bottlenecks of your GKE cluster.

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Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team. Which command should you run?

• A.gsutil test -o output.json gs://my-bucket
• B.gsutil perfdiag -o output.json gs://my-bucket
• C.gcloud compute scp example-instance:~/test-data -o output.json gs://my-bucket
• D.gcloud services test -o output.json gs://my-bucket

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You are designing a deployment technique for your new applications on Google Cloud. As part of your deployment planning, you want to use live traffic to gather performance metrics for both new and existing applications. You need to test against the full production load prior to launch. What should you do?

• A.Use canary deployment
• B.Use blue/green deployment
• C.Use rolling updates deployment
• D.Use A/B testing with traffic mirroring during deployment

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