Practice Free Professional Cloud Developer Exam Online Questions
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?
- A . Deployment
- B . StatefulSet
- C . ReplicaSet
- D . ReplicaController
B
Explanation:
Reference: https://livebook.manning.com/book/kubernetes-in-action/chapter-10/46
You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn’t affect your application’s deployment strategy, and you want to use a fully managed service.
Which Google Cloud service should you use to deploy your container?
- A . Cloud Run
- B . Compute Engine
- C . Google Kubernetes Engine
- D . App Engine flexible environment
A
Explanation:
https://cloud.google.com/blog/products/serverless/knative-based-cloud-run-services-are-ga
In order to meet their business requirements, how should HipLocal store their application state?
- A . Use local SSDs to store state.
- B . Put a memcache layer in front of MySQL.
- C . Move the state storage to Cloud Spanner.
- D . Replace the MySQL instance with Cloud SQL.
You are developing a web application that will be accessible over both HTTP and HTTPS and will run on Compute Engine instances. On occasion, you will need to SSH from your remote laptop into one of the Compute Engine instances to conduct maintenance on the app.
How should you configure the instances while following Google-recommended best practices?
- A . Set up a backend with Compute Engine web server instances with a private IP address behind a TCP proxy load balancer.
- B . Configure the firewall rules to allow all ingress traffic to connect to the Compute Engine web servers, with each server having a unique external IP address.
- C . Configure Cloud Identity-Aware Proxy API for SSH access. Then configure the Compute Engine servers with private IP addresses behind an HTTP(s) load balancer for the application web traffic.
- D . Set up a backend with Compute Engine web server instances with a private IP address behind an HTTP(S) load balancer. Set up a bastion host with a public IP address and open firewall ports. Connect to the web instances using the bastion host.
C
Explanation:
Reference:
https://cloud.google.com/compute/docs/instances/connecting-advanced#cloud_iap
https://cloud.google.com/solutions/connecting-securely#storing_host_keys_by_enabling_guest_attributes
HipLocal’s APIs are showing occasional failures, but they cannot find a pattern. They want to collect some metrics to help them troubleshoot.
What should they do?
- A . Take frequent snapshots of all of the VMs.
- B . Install the Stackdriver Logging agent on the VMs.
- C . Install the Stackdriver Monitoring agent on the VMs.
- D . Use Stackdriver Trace to look for performance bottlenecks.
You are a lead developer working on a new retail system that runs on Cloud Run and Firestore. A web UI requirement is for the user to be able to browse through alt products. A few months after go-live, you notice that Cloud Run instances are terminated with HTTP 500: Container instances are exceeding memory limits errors during busy times
This error coincides with spikes in the number of Firestore queries
You need to prevent Cloud Run from crashing and decrease the number of Firestore queries. You want to use a solution that optimizes system performance.
What should you do?
- A . Create a custom jndex over the products
- B . Modify the query that returns the product list using cursors with limits
- C . Modify the Cloud Run configuration to increase the memory limits
- D . Modify the query that returns the product list using integer offsets
Your team is developing an ecommerce platform for your company. Users will log in to the website and add items to their shopping cart. Users will be automatically logged out after 30 minutes of inactivity. When users log back in, their shopping cart should be saved.
How should you store users’ session and shopping cart information while following Google-recommended best practices?
- A . Store the session information in Pub/Sub, and store the shopping cart information in Cloud SQL.
- B . Store the shopping cart information in a file on Cloud Storage where the filename is the SESSION ID.
- C . Store the session and shopping cart information in a MySQL database running on multiple Compute Engine instances.
- D . Store the session information in Memorystore for Redis or Memorystore for Memcached, and store the shopping cart information in Firestore.
For this question, refer to the HipLocal case study.
How should HipLocal increase their API development speed while continuing to provide the QA team with a stable testing environment that meets feature requirements?
- A . Include unit tests in their code, and prevent deployments to QA until all tests have a passing status.
- B . Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.
- C . Create health checks for the QA environment, and redeploy the APIs at a later time if the environment is unhealthy.
- D . Redeploy the APIs to App Engine using Traffic Splitting. Do not move QA traffic to the new versions if errors are found.
You want to create “fully baked” or “golden” Compute Engine images for your application. You need to bootstrap your application to connect to the appropriate database according to the environment the application is running on (test, staging, production).
What should you do?
- A . Embed the appropriate database connection string in the image. Create a different image for each environment.
- B . When creating the Compute Engine instance, add a tag with the name of the database to be connected. In your application, query the Compute Engine API to pull the tags for the current instance, and use the tag to construct the appropriate database connection string.
- C . When creating the Compute Engine instance, create a metadata item with a key of “DATABASE” and a value for the appropriate database connection string. In your application, read the “DATABASE” environment variable, and use the value to connect to the appropriate database.
- D . When creating the Compute Engine instance, create a metadata item with a key of “DATABASE” and a value for the appropriate database connection string. In your application, query the metadata server for the “DATABASE” value, and use the value to connect to the appropriate database.
One of your deployed applications in Google Kubernetes Engine (GKE) is having intermittent performance issues. Your team uses a third-party logging solution. You want to install this solution on each node in your GKE cluster so you can view the logs.
What should you do?
- A . Deploy the third-party solution as a DaemonSet
- B . Modify your container image to include the monitoring software
- C . Use SSH to connect to the GKE node, and install the software manually
- D . Deploy the third-party solution using Terraform and deploy the logging Pod as a Kubernetes Deployment
A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/daemonset#usage_patterns DaemonSets are useful for deploying ongoing background tasks that you need to run on all or certain nodes, and which do not require user intervention. Examples of such tasks include storage daemons like ceph, log collection daemons like fluent-bit, and node monitoring daemons like collectd.