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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Weight	Objectives
Integrating applications with Google Cloud services	21%	- Implementing application performance monitoring 1. Using operations suite tools 2. Instrumenting code for metrics and traces - Integrating with data and storage services 1. Working with relational, NoSQL, and in-memory databases 2. Implementing messaging and event streaming 3. Using object storage and file storage solutions - Consuming Google Cloud APIs and services 1. Enabling and managing APIs 2. Using client libraries, REST, and gRPC 3. Integrating with AI/ML and generative AI services
Designing highly scalable, secure, and reliable cloud-native applications	32%	- Designing high-performing applications and APIs 1. Selecting appropriate compute and deployment platforms 2. Optimizing for latency and throughput 3. Designing for high availability and fault tolerance - Designing secure applications 1. Securing data in transit and at rest 2. Applying security best practices and compliance requirements 3. Implementing authentication and authorization mechanisms - Designing for observability and monitoring 1. Planning logging, metrics, and tracing strategies 2. Designing for debugging and troubleshooting
Building and testing applications	23%	- Building applications and containers 1. Implementing containerization best practices 2. Configuring build pipelines and provenance 3. Using Cloud Build and Artifact Registry - Setting up development environments 1. Emulating Google Cloud services locally 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations - Testing applications 1. Writing unit, integration, and end-to-end tests 2. Using AI-assisted development tools 3. Automating testing in CI/CD workflows
Configuring cloud-native applications for deployment	24%	- Deploying applications to Cloud Run 1. Integrating with event-driven services 2. Configuring scaling, networking, and security 3. Deploying from source code or containers - Deploying to App Engine or Cloud Functions 1. Managing versions and traffic splitting 2. Configuring serverless deployments - Deploying applications to Google Kubernetes Engine 1. Managing configurations and secrets 2. Creating and managing workloads and services 3. Configuring scaling, auto-scaling, and updates

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Google Certified Professional - Cloud Developer Sample Questions (Q343-Q348):

NEW QUESTION # 343
You are reviewing and updating your Cloud Build steps to adhere to Google-recommended practices.
Currently, your build steps include:
1. Pull the source code from a source repository.
2. Build a container image
3. Upload the built image to Artifact Registry.
You need to add a step to perform a vulnerability scan of the built container image, and you want the results of the scan to be available to your deployment pipeline running in Google Cloud. You want to minimize changes that could disrupt other teams' processes What should you do?

A. Add Artifact Registry to your Aqua Security instance, and scan the built container images for vulnerabilities
B. Enable the Container Scanning API in Artifact Registry, and scan the built container images for vulnerabilities.
C. Upload the built container images to your Docker Hub instance, and scan them for vulnerabilities.
D. Enable Binary Authorization, and configure it to attest that no vulnerabilities exist in a container image.

Answer: B

NEW QUESTION # 344
You are working on a social media application. You plan to add a feature that allows users to upload images. These images will be 2 MB ?1 GB in size. You want to minimize their infrastructure operations overhead for this feature.
What should you do?

A. Set up a web server on GCP to accept user images and create a file store to keep uploaded files.
Change the application to retrieve images from the file store.
B. Change the application to accept images directly and store them in the database that stores other user information.
C. Create a separate bucket for each user in Cloud Storage.
Assign a separate service account to allow write access on each bucket.
Transfer service account credentials to the client application based on user information.
The application uses this service account to upload images to Cloud Storage.
D. Change the application to create signed URLs for Cloud Storage.
Transfer these signed URLs to the client application to upload images to Cloud Storage.

Answer: D

Explanation:
https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud- storage-by-using-signed-url

NEW QUESTION # 345
Your teammate has asked you to review the code below, which is adding a credit to an account balance in Cloud Datastore. Which improvement should you suggest your teammate make?

A. Use a strongly consistent transactional database.
B. Get and put the entity in a transaction.
C. Get the entity with an ancestor query.
D. Don't return the account entity from the function.

Answer: C

NEW QUESTION # 346
You are deploying your application to a Compute Engine virtual machine instance with the Stackdriver Monitoring Agent installed. Your application is a unix process on the instance. You want to be alerted if the unix process has not run for at least 5 minutes. You are not able to change the application to generate metrics or logs.
Which alert condition should you configure?

A. Metric threshold
B. Process health
C. Metric absence
D. Uptime check

Answer: B

Explanation:
Reference:
https://cloud.google.com/monitoring/alerts/concepts-indepth

NEW QUESTION # 347
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal wants to improve the resilience of their MySQL deployment, while also meeting their business and technical requirements.
Which configuration should they choose?

A. Replace the current single instance MySQL instance with Cloud SQL, and Google provides redundancy without further configuration.
B. Replace the current single instance MySQL instance with Cloud SQL, and configure high availability.
C. Use the current single instance MySQL on Compute Engine, and replicate the data to Cloud SQL in an external master configuration.
D. Use the current single instance MySQL on Compute Engine and several read-only MySQL servers on Compute Engine.

Answer: B

Explanation:
The HA configuration, sometimes called a cluster, provides data redundancy. A Cloud SQL instance configured for HA is also called a regional instance and is located in a primary and secondary zone within the configured region.
So the problem related to be GDPR compliant doesn't exists with Cloud SQL HA.
https://cloud.google.com/sql/docs/mysql/high-availability

NEW QUESTION # 348
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