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Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configuring cloud-native applications for deployment | 24% | - Deploying to App Engine or Cloud Functions
|
| Topic 2: Integrating applications with Google Cloud services | 21% | - Integrating with data and storage services
|
| Topic 3: Building and testing applications | 23% | - Setting up development environments
|
| Topic 4: Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing for observability and monitoring
|
What Working Candidates Ask About Professional-Cloud-Developer Prep
Google specifies the following prerequisites for the Google Certified Professional - Cloud Developer: No formal prerequisites; recommended: 3+ years industry experience, 1+ year designing/managing Google Cloud solutions.
Confirm the authoritative details on the official certification page before you register.
As of the latest information, the passing score for the Professional-Cloud-Developer exam is Not publicly disclosed and the fee is $200 USD (plus tax where applicable). Google sets both, so verify the current figures on the official site before scheduling.
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The Google Certified Professional - Cloud Developer blueprint centers on these principal domains:
- Configuring cloud-native applications for deployment (24%)
- Building and testing applications (23%)
- Integrating applications with Google Cloud services (21%)
Further domains complete the official outline, and our question bank spans every one.
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According to the latest exam information, the Professional-Cloud-Developer exam includes 50-60 questions and lasts 120 minutes minutes. Practicing under the same limit builds the pacing confidence you will want on the day.
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Google Certified Professional - Cloud Developer Sample Questions:
You are developing a JPEG image-resizing API hosted on Google Kubernetes Engine (GKE).
Callers of the service will exist within the same GKE cluster. You want clients to be able to get the IP address of the service.
What should you do?
- A. Define a GKE Service. Clients should use the name of the A record in Cloud DNS to find the service's cluster IP address.
- B. Define a GKE Endpoint. Clients should get the endpoint name from Cloud DNS.
- C. Define a GKE Endpoint. Clients should get the endpoint name from the appropriate environment variable in the client container.
- D. Define a GKE Service. Clients should use the service name in the URL to connect to the service.
Correct Answer: D 🗳️
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Your team is developing a Cloud Function triggered by Cloud Storage events. You want to accelerate testing and development of your Cloud Function while following Google-recommended best practices. What should you do?
- A. Create a new Cloud Function that is triggered when Cloud Audit Logs detects the cloudfunctions.functions.sourceCodeSet operation in the original Cloud Function. Send mock requests to the new function to evaluate the functionality.
- B. Make a copy of the Cloud Function, and rewrite the code to be HTTP-triggered. Edit and test the new version by triggering the HTTP endpoint. Send mock requests to the new function to evaluate the functionality.
- C. Make a copy of the Cloud Function in the Google Cloud console. Use the Cloud console's in-line editor to make source code changes to the new function. Modify your web application to call the new function, and test the new version in production
- D. Install the Functions Frameworks library, and configure the Cloud Function on localhost. Make a copy of the function, and make edits to the new version. Test the new version using curl.
Correct Answer: D 🗳️
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You are developing an application hosted on Google Cloud that uses a MySQL relational database schema. The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?
- A. Configure Firestore to host the database, and import the data into Firestore.
- B. Configure Cloud SQL to host the database, and import the schema into Cloud SQL.
- C. Configure Bigtable to host the database, and import the data into Bigtable.
- D. Configure Cloud Spanner to host the database, and import the schema into Cloud Spanner.
- E. Deploy MySQL from the Google Cloud Marketplace to the database using a client, and import the schema.
Correct Answer: B 🗳️
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Your team has created an application that is hosted on a GKE cluster. You need to connect the application to a REST service that is deployed in two GKE clusters in two different regions. How should you set up the connection and health checks? (Choose two.)
- A. Configure the REST service's firewall to allow health checks originating from the GKE check probe's IP ranges.
- B. Configure the REST service's firewall to allow health checks originating from the GKE service's IP ranges.
- C. Use Cloud Service Mesh with sidecar proxies to connect the application to the REST service.
- D. Configure the REST service's firewall to allow health checks originating from the GKE control plane's IP ranges.
- E. Use Cloud Service Mesh with proxyless gRPC to connect the application to the REST service.
Correct Answer: A,C 🗳️
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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. 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.
- B. Embed the appropriate database connection string in the image. Create a different image for each environment.
- 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.
Correct Answer: D 🗳️
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