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| Section | Objectives |
|---|
| Manage implementations of cloud architecture | - Manage deployment and production systems - Ensure solution reliability and operational excellence
|
| Design and plan a cloud solution architecture | - Design for reliability, scalability, and availability - Plan security and compliance requirements - Design Google Cloud solutions based on business requirements
|
| Design for security and compliance | - Configure data protection and encryption - Implement identity and access management (IAM)
|
| Manage and provision the solution infrastructure | - Automate infrastructure deployment - Provision compute, storage, and network resources
|
| Analyze and optimize technical and business processes | - Monitor, log, and optimize system performance - Optimize cost and resource usage
|
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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q48-Q53):
NEW QUESTION # 48
You need to ensure reliability for your application and operations by supporting reliable task a scheduling for compute on GCP. Leveraging Google best practices, what should you do?
- A. Using the Cron service provided by Google Kubernetes Engine (GKE), publish messages directly to a message-processing utility service running on Compute Engine instances.
- B. Using the Cron service provided by GKE, publish messages to a Cloud Pub/Sub topic. Subscribe to that topic using a message-processing utility service running on Compute Engine instances.
- C. Using the Cron service provided by App Engine, publish messages to a Cloud Pub/Sub topic.
Subscribe to that topic using a message-processing utility service running on Compute Engine instances. - D. Using the Cron service provided by App Engine, publishing messages directly to a message- processing utility service running on Compute Engine instances.
Answer: C
NEW QUESTION # 49
Case Study: 7 - Mountkirk Games
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics, and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Business Requirements
Increase to a global footprint.
* Improve uptime - downtime is loss of players.
* Increase efficiency of the cloud resources we use.
* Reduce latency to all customers.
* Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
* Connect to a transactional database service to manage user profiles and game state.
* Store game activity in a timeseries database service for future analysis.
* As the system scales, ensure that data is not lost due to processing backlogs.
* Run hardened Linux distro.
* Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
* Process incoming data on the fly directly from the game servers
* Process data that arrives late because of slow mobile networks
* Allow queries to access at least 10 TB of historical data
* Process files that are regularly uploaded by users' mobile devices
* Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users.
Additionally, our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)
- A. Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.
- B. Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.
- C. Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
- D. Begin packaging their game backend artifacts in container images and running them on Kubernetes Engine to improve the availability to scale up or down based on game activity.
- E. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
Answer: A,E
NEW QUESTION # 50
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?
- A. Use a persistent disk for each instance.
- B. Use a regional persistent disk for each instance.
- C. Create a Cloud Storage bucket and mount it in each instance using gcsfuse.
- D. Create a Cloud Filestore instance and mount it in each instance.
Answer: D
Explanation:
https://cloud.google.com/storage/docs/gcs-fuse#notes
Cloud Filestore: Cloud Filestore is a scalable and highly available shared file service fully managed by Google. Cloud Filestore provides persistent storage ideal for shared workloads. It is best suited for enterprise applications requiring persistent, durable, shared storage which is accessed by NFS or requires a POSIX compliant file system.
NEW QUESTION # 51
For this question, refer to the EHR Healthcare case study. In the past, configuration errors put public IP addresses on backend servers that should not have been accessible from the Internet. You need to ensure that no one can put external IP addresses on backend Compute Engine instances and that external IP addresses can only be configured on frontend Compute Engine instances. What should you do?
- A. Create a custom Identity and Access Management (IAM) role named GCE_FRONTEND with the compute.addresses.create permission.
- B. Revoke the compute.networkAdmin role from all users in the project with front end instances.
- C. Create an Organizational Policy with a constraint to allow external IP addresses only on the frontend Compute Engine instances.
- D. Create an Identity and Access Management (IAM) policy that maps the IT staff to the compute.networkAdmin role for the organization.
Answer: C
Explanation:
https://cloud.google.com/compute/docs/ip-addresses/reserve-static-external-ip-address#disableexternalip
NEW QUESTION # 52
Your company acquired a healthcare startup and must retain its customers' medical information for up to 4 more years, depending on when it was created. Your corporate policy is to securely retain this data, and then delete it as soon as regulations allow.
Which approach should you take?
- A. Store the data in Google Drive and manually delete records as they expire.
- B. Store the data using the Cloud Storage and use lifecycle management to delete files when they expire.
- C. Store the data in Cloud Storage and run a nightly batch script that deletes all expired datA.
- D. Anonymize the data using the Cloud Data Loss Prevention API and store it indefinitely.
Answer: B
Explanation:
Reference:
https://cloud.google.com/storage/docs/lifecycle
NEW QUESTION # 53
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