Google Professional-Cloud-Developer Exam Dumps

You have deployed a Java application to Cloud Run. Your application requires access to a database hosted on Cloud SQL Due to regulatory requirements: your connection to the Cloud SQL instance must use its internal IP address. How should you configure the connectivity while following Google-recommended best practices'?

AConfigure your Cloud Run service with a Cloud SQL connection.

BConfigure your Cloud Run service to use a Serverless VPC Access connector

CConfigure your application to use the Cloud SQL Java connector

DConfigure your application to connect to an instance of the Cloud SQL Auth proxy

Question 2

You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?

ACreate a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.

BConfigure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.

CDeploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

DRename the Cloud Functions and Cloud Run services endpoints using a well-documented naming
convention

Question 3

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 do?

AInstrument your microservices by installing the OpenTelemetry 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

BConfigure 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

CInstall tcpdump on your GKE nodes. Run tcpdump 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

DUpdate your microservices to log HTTP request methods and URL paths to STDOUT Use the logs router to send container logs to Cloud Logging Create filters in Cloud Logging to evaluate the latency of user requests across different methods and URL paths.

Question 4

Your team is setting up a build pipeline for an application that will run in Google Kubernetes Engine (GKE). For security reasons, you only want images produced by the pipeline to be deployed to your GKE cluster. Which combination of Google Cloud services should you use?

AGoogle Cloud Deploy. Artifact Registry, and Google Cloud Armor

BGoogle Cloud Deploy, Cloud Storage and Google Cloud Armor

CCloud Build, Cloud Storage, and Binary Authorization

DCloud Build. Artifact Registry and Binary Authorization

Question 5

You are using Cloud Run to host a global ecommerce web application. Your company's design team is creating a new color scheme for the web app. You have been tasked with determining whether the new color scheme will increase sales You want to conduct testing on live production traffic How should you design the study?

AUse an external HTTP(S) load balancer to route a predetermined percentage of traffic to two different color
schemes of your application Analyze the results to determine whether there is a statistically significant
difference in sales.

BUse an external HTTP(S) load balancer to route traffic to the original color scheme while the new deployment
is created and tested After testing is complete reroute all traffic to the new color scheme Analyze the
results to determine whether there is a statistically significant difference in sales.

CEnable a feature flag that displays the new color scheme to half of all users. Monitor sales to see whether
they increase for this group of users.

DUse an external HTTP(S) load balancer to mirror traffic to the new version of your application Analyze the
results to determine whether there is a statistically significant difference in sales.

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