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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional Cloud Developer Exam |
| Exam Number: | Professional Cloud Developer |
| Exam Format: | Multiple select, Multiple choice, Case study |
| Real Exam Qty: | Approximately 50–60 questions |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer |
| Exam Duration: | 120 minutes |
| Exam Price: | $200 USD (may vary by region and taxes) |
| Certificate Validity Period: | 2 years |
| Available Languages: | Japanese, English |
| Recommended Training: | Google Cloud Skills Boost - Professional Cloud Developer Official Google Cloud Certification Training Path |
| Exam Registration: | Kryterion Webassessor Portal Official Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-Developer Sample Questions |
| Exam Way: | Online proctored exam (remote) or onsite test center via Kryterion Webassessor |
| Pre Condition: | No formal prerequisites required. Recommended: 3+ years industry experience including 1+ year designing and managing solutions on Google Cloud. |
| Official Syllabus URL: | https://cloud.google.com/certification/cloud-developer |
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NEW QUESTION # 113
Your operations team has asked you to create a script that lists the Cloud Bigtable, Memorystore, and Cloud SQL databases running within a project. The script should allow users to submit a filter expression to limit the results presented. How should you retrieve the data?
Answer: A
Explanation:
https://cloud.google.com/sdk/gcloud/reference/topic/filters
Most gcloud commands return a list of resources on success. By default they are pretty-printed on the standard output. The --format=NAME[ATTRIBUTES](PROJECTION) and --filter=EXPRESSION flags along with projections can be used to format and change the default output to a more meaningful result. Use the --format flag to change the default output format of a command. For details run $ gcloud topic formats.
NEW QUESTION # 114
You are developing an application using different microservices that must remain internal to the cluster. You want the ability to configure each microservice with a specific number of replicas.
You also want the ability to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You plan to implement this solution on Google Kubernetes Engine. What should you do?
Answer: B
Explanation:
We need to have deployment descriptor with apiversion, kind, metadata, spec details.
We can mention the replica set inside spec.
All pods must communicate with each other using service DNS names -> DNS is built in for GKE cluster.
NEW QUESTION # 115
Case Study 2 - 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, and that they analyze and respond to any issues that occur.
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.
- Release cycles include development freezes to allow for QA testing.
- The application has no logging.
- Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings.
- 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.
- Support 10x as many concurrent users.
- 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.
Develop standardized workflows and processes around application lifecycle management.
Define service level indicators (SLIs) and service level objectives (SLOs).
Technical Requirements
- Provide secure communications between the on-premises data center and cloud-hosted applications and infrastructure.
- The application must provide usage metrics and monitoring.
- APIs require authentication and authorization.
- Implement faster and more accurate validation of new features.
- Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts.
- Must scale to meet user demand.
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?
Answer: B
Explanation:
A stable environment is one that works. Performance testing does not mean it works fine, unit testing will enable this.
NEW QUESTION # 116
You are developing a flower ordering application Currently you have three microservices.
* Order Service (receives the orders).
* Order Fulfillment Service (processes the orders).
* Notification Service (notifies the customer when the order is filled).
You need to determine how the services will communicate with each other. You want incoming orders to be processed quickly and you need to collect order information for fulfillment. You also want to make sure orders are not lost between your services and are able to communicate asynchronously. How should the requests be processed?
Answer: D
NEW QUESTION # 117
Your organization has recently begun an initiative to replatform their legacy applications onto Google Kubernetes Engine. You need to decompose a monolithic application into microservices. Multiple instances have read and write access to a configuration file, which is stored on a shared file system. You want to minimize the effort required to manage this transition, and you want to avoid rewriting the application code. What should you do?
Answer: B
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/configmap
ConfigMaps bind non-sensitive configuration artifacts such as configuration files, command-line arguments, and environment variables to your Pod containers and system components at runtime.
A ConfigMap separates your configurations from your Pod and components, which helps keep your workloads portable. This makes their configurations easier to change and manage, and prevents hardcoding configuration data to Pod specifications.
NEW QUESTION # 118
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