You are planning to migrate the following on-premises data management solutions to Google Cloud:
* One MySQL cluster for your main database
* Apache Kafka for your event streaming platform
* One Cloud SOL for PostgreSOL database for your analytical and reporting needs
You want to implement Google-recommended solutions for the migration. You need to ensure that the new solutions provide global scalability and require minimal operational and infrastructure management. What should you do?
Answer : D
Your web application is hosted on Cloud Run and needs to query a Cloud SOL database. Every morning during a traffic spike, you notice API quota errors in Cloud SOL logs. The project has already reached the maximum API quot
a. You want to make a configuration change to mitigate the issue. What should you do?
Answer : C
Your company uses BigQuery to store and analyze dat
a. Upon submitting your query in BigQuery, the query fails with a quotaExceeded error. You need to diagnose the issue causing the error. What should you do?
Choose 2 answers
Answer : A, C
When encountering a quotaExceeded error in BigQuery, you should follow these steps to diagnose and mitigate the issue:
Understand the Error:
The error message indicates that a quota was exceeded (either a short-term rate limit or a longer-term limit).
The response payload contains information about which quota was reached.
Quotas can fall into two categories:
rateLimitExceeded: Short-term limits. Retry the operation after a few seconds using exponential backoff.
quotaExceeded: Longer-term limits. Wait 10 minutes or longer before retrying the operation.
Search Errors in Cloud Audit Logs(Option A):
Cloud Audit Logs provide detailed information about API requests and responses.
By searching the logs, you can identify the specific API call that triggered the quotaExceeded error.
This helps you understand which resource or operation exceeded the quota.
View Errors in Cloud Monitoring(Option C):
Cloud Monitoring (formerly known as Stackdriver) provides insights into your Google Cloud resources.
Check the monitoring dashboard for any alerts related to BigQuery quotas.
You can set up custom monitoring rules to track specific quotas and receive notifications.
Other Options:
B . Configure Cloud Trace: Cloud Trace is used for performance analysis and latency tracking. It's not directly related to quota issues.
D . Use Information Schema Views: Information schema views provide metadata about your datasets and tables but won't help diagnose quota errors.
E . Use BigQuery Bl Engine: There is no such tool called ''BigQuery Bl Engine.'' This option is invalid.
You have a VM instance running in a VPC with single-stack subnets. You need to ensure that the VM instance has a fixed IP address so that other services hosted in the same VPC can communicate with the VM. You want to follow Google-recommended practices while minimizing cost. What should you do?
Answer : B
You need to migrate invoice documents stored on-premises to Cloud Storage. The documents have the following storage requirements:
* Documents must be kept for five years.
* Up to five revisions of the same invoice document must be stored, to allow for corrections.
* Documents older than 365 days should be moved to lower cost storage tiers.
You want to follow Google-recommended practices to minimize your operational and development costs. What should you do?
Your manager asks you to deploy a workload to a Kubernetes cluster. You are not sure of the workloads resource requirements or how the requirements might vary depending on usage patterns, external dependencies, or other factors. You need a solution that makes cost-effective recommendations regarding CPU and memory requirements, and allows the workload to function consistently in any situation. You want to follow Google-recommended practices. What should you do?
Answer : D
You are deploying a web application using Compute Engine. You created a managed instance group (MIG) to host the application. You want to follow Google-recommended practices to implement a secure and highly available solution. What should you do?
Answer : D
HTTP(S) load balancing is a Google-recommended practice for distributing web traffic across multiple regions and zones, and providing high availability, scalability, and security for web applications. It supports both IPv4 and IPv6 addresses, and can handle SSL/TLS termination and encryption. It also integrates with Cloud CDN, Cloud Armor, and Cloud Identity-Aware Proxy for enhanced performance and protection. A MIG can be used as a backend service for HTTP(S) load balancing, and can automatically scale and heal the VM instances that host the web application.
To configure DNS for HTTP(S) load balancing, you need to create an A record in your DNS public zone with the load balancer's IP address. This will map your domain name to the load balancer's IP address, and allow users to access your web application using the domain name. A CNAME record is not recommended, as it can cause latency and DNS resolution issues. A private zone is not suitable, as it is only visible within your VPC network, and not to the public internet.
HTTP(S) Load Balancing documentation