Practice Free Professional Cloud Developer Exam Online Questions
Your company uses Cloud Logging to manage large volumes of log data. You need to build a real-time log analysis architecture that pushes logs to a third-party application for processing.
What should you do?
- A . Create a Cloud Logging log export to Pub/Sub.
- B . Create a Cloud Logging log export to BigQuery.
- C . Create a Cloud Logging log export to Cloud Storage.
- D . Create a Cloud Function to read Cloud Logging log entries and send them to the third-party application.
You recently deployed a Go application on Google Kubernetes Engine (GKE). The operations team has noticed that the application’s CPU usage is high even when there is low production traffic. The operations team has asked you to optimize your application’s CPU resource consumption. You want to determine which Go functions consume the largest amount of CPU.
What should you do?
- A . Deploy a Fluent Bit daemonset on the GKE cluster to log data in Cloud Logging. Analyze the logs to get insights into your application code’s performance.
- B . Create a custom dashboard in Cloud Monitoring to evaluate the CPU performance metrics of your application.
- C . Connect to your GKE nodes using SSH. Run the top command on the shell to extract the CPU utilization of your application.
- D . Modify your Go application to capture profiling data. Analyze the CPU metrics of your application in flame graphs in Profiler.
D
Explanation:
https://cloud.google.com/profiler/docs/about-profiler
Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications. It attributes that information to the source code that generated it, helping you identify the parts of your application that are consuming the most resources, and otherwise illuminating your applications performance characteristics.
https://cloud.google.com/profiler/docs
You are building a highly available and globally accessible application that will serve static content to users. You need to configure the storage and serving components. You want to minimize management overhead and latency while maximizing reliability for users.
What should you do?
- A . 1) Create a managed instance group. Replicate the static content across the virtual machines (VMs)
2) Create an external HTTP(S) load balancer.
3) Enable Cloud CDN, and send traffic to the managed instance group. - B . 1) Create an unmanaged instance group. Replicate the static content across the VMs.
2) Create an external HTTP(S) load balancer
3) Enable Cloud CDN, and send traffic to the unmanaged instance group. - C . 1) Create a Standard storage class, regional Cloud Storage bucket. Put the static content in the bucket
2) Reserve an external IP address, and create an external HTTP(S) load balancer
3) Enable Cloud CDN, and send traffic to your backend bucket - D . 1) Create a Standard storage class, multi-regional Cloud Storage bucket. Put the static content in the bucket.
2) Reserve an external IP address, and create an external HTTP(S) load balancer.
3) Enable Cloud CDN, and send traffic to your backend bucket.
You are building a highly available and globally accessible application that will serve static content to users. You need to configure the storage and serving components. You want to minimize management overhead and latency while maximizing reliability for users.
What should you do?
- A . 1) Create a managed instance group. Replicate the static content across the virtual machines (VMs)
2) Create an external HTTP(S) load balancer.
3) Enable Cloud CDN, and send traffic to the managed instance group. - B . 1) Create an unmanaged instance group. Replicate the static content across the VMs.
2) Create an external HTTP(S) load balancer
3) Enable Cloud CDN, and send traffic to the unmanaged instance group. - C . 1) Create a Standard storage class, regional Cloud Storage bucket. Put the static content in the bucket
2) Reserve an external IP address, and create an external HTTP(S) load balancer
3) Enable Cloud CDN, and send traffic to your backend bucket - D . 1) Create a Standard storage class, multi-regional Cloud Storage bucket. Put the static content in the bucket.
2) Reserve an external IP address, and create an external HTTP(S) load balancer.
3) Enable Cloud CDN, and send traffic to your backend bucket.
You need to deploy a new European version of a website hosted on Google Kubernetes Engine. The current and new websites must be accessed via the same HTTP(S) load balancer’s external IP address, but have different domain names.
What should you do?
- A . Define a new Ingress resource with a host rule matching the new domain
- B . Modify the existing Ingress resource with a host rule matching the new domain
- C . Create a new Service of type LoadBalancer specifying the existing IP address as the loadBalancerIP
- D . Generate a new Ingress resource and specify the existing IP address as the kubernetes.io/ingress.global-static-ip-name annotation value
B
Explanation:
https://kubernetes.io/docs/concepts/services-networking/ingress/#name-based-virtual-hosting Name-based virtual hosts support routing HTTP traffic to multiple host names at the same IP address.
You are running a web application on Google Kubernetes Engine that you inherited. You want to determine whether the application is using libraries with known vulnerabilities or is vulnerable to XSS attacks.
Which service should you use?
- A . Google Cloud Armor
- B . Debugger
- C . Web Security Scanner
- D . Error Reporting
C
Explanation:
https://cloud.google.com/security-command-center/docs/concepts-web-security-scanner-overview Web Security Scanner identifies security vulnerabilities in your App Engine, Google Kubernetes Engine (GKE), and Compute Engine web applications. It crawls your application, following all links within the scope of your starting URLs, and attempts to exercise as many user inputs and event handlers as possible.
You are developing an application that will allow users to read and post comments on news articles. You want to configure your application to store and display user-submitted comments using Firestore.
How should you design the schema to support an unknown number of comments and articles?
- A . Store each comment in a subcollection of the article.
- B . Add each comment to an array property on the article.
- C . Store each comment in a document, and add the comment’s key to an array property on the article.
- D . Store each comment in a document, and add the comment’s key to an array property on the user profile.