PROFESSIONAL-CLOUD-DEVELOPERProfessional Cloud Developer
254 Questions and Answers Experienced specialists selected 254 questions for this exam. All answers are verified to ensure correctness.
Last Updated Apr 24, 2024 Ace your exams with our consistently updated PROFESSIONAL-CLOUD-DEVELOPER exam dumps.
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PROFESSIONAL-CLOUD-DEVELOPER Online Practice Questions and Answers
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency. How should you perform reads from Cloud Spanner for this application?
A. Perform Read-Only transactions.
B. Perform stale reads using single-read methods.
C. Perform strong reads using single-read methods.
D. Perform stale reads using read-write transactions.
You manage a microservices application on Google Kubernetes Engine (GKE) using Istio. You secure the communication channels between your microservices by implementing an Istio AuthorizationPolicy, a Kubernetes NetworkPolicy, and mTLS on your GKE cluster. You discover that HTTP requests between two Pods to specific URLs fail, while other requests to other URLs succeed. What is the cause of the connection issue?
A. A Kubernetes NetworkPolicy resource is blocking HTTP traffic between the Pods.
B. The Pod initiating the HTTP requests is attempting to connect to the target Pod via an incorrect TCP port.
C. The Authorization Policy of your cluster is blocking HTTP requests for specific paths within your application.
D. The cluster has mTLS configured in permissive mode, but the Pod's sidecar proxy is sending unencrypted traffic in plain text.
You recently developed a new service on Cloud Run. The new service authenticates using a custom service and then writes transactional information to a Cloud Spanner database. You need to verify that your application can support up to 5,000 read and 1,000 write transactions per second while identifying any bottlenecks that occur. Your test infrastructure must be able to autoscale. What should you do?
A. Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.
B. Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.
C. Create a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions per minute for 10 minutes. Analyze the results using Cloud Monitoring.
D. Create a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace.
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Google PROFESSIONAL-CLOUD-DEVELOPER exam official information: Professional Cloud Developers build scalable cloud-native applications and next generation databases, runtime environments, & developer tools.
