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The Google Associate-Cloud-Engineer Exam covers topics such as compute engine, storage, container deployment, Kubernetes, security, networking, billing, and support. To prepare for the exam, candidates can opt to take the online training courses offered by Google Cloud or other third-party training providers. They can also utilize free resources such as online documentation, tutorials, and practice tests available on the GCP website. Candidates with prior experience can leverage their skills by practicing on GCP projects and labs.
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The last module of the certification exam measures the skills of the learners in managing identity & access management (IAM). Besides that, they should know how to perform the management of service accounts. They also need to be able to view audit logs for the project as well as managed services.
NEW QUESTION # 22
A Solutions Architect is designing the architecture for a new three-tier web-based e-commerce site that must be available 24/7. Requests are expected to range from 100 to 10,000 each minute. Usage can vary depending on time of day, holidays, and promotions. The design should be able to handle these volumes, with the ability to handle higher volumes if necessary.
How should the Architect design the architecture to ensure the web tier is cost-optimized and can handle the expected traffic? (Choose two.)
Answer: B,D
NEW QUESTION # 23
You've just created a new Google Cloud account. You're eager to start working with resources such as App Engine and Cloud Storage. However, you know that resources have requirements. Which of the following is required by Google Cloud in order to enable and use resources?
Answer: C
NEW QUESTION # 24
You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?
Answer: D
Explanation:
https://console.cloud.google.com/marketplace/details/gc-launcher-for-mongodb-atlas/mongodb-atlas
NEW QUESTION # 25
Your company is seeking a scalable solution to retain and explore application logs hosted on Compute Engine. You must be able to analyze your logs with SQL queries, and you want to be able to create charts to identify patterns and trends in your logs over time. You want to follow Google-recommended practices and minimize your operational costs. What should you do?
Answer: B
Explanation:
Ingesting your application logs to Cloud Logging using the Ops Agent and exploring the logs with Log Analytics is the recommended solution. This approach leverages Cloud Logging's built-in capabilities for querying logs with SQL-like syntax and allows you to visualize trends over time, all while minimizing operational costs. Log Analytics provides a powerful interface for log exploration and analysis.
NEW QUESTION # 26
You are about to deploy a new Enterprise Resource Planning (ERP) system on Google Cloud. The application holds the full database in-memory for fast data access, and you need to configure the most appropriate resources on Google Cloud for this application. What should you do?
Answer: C
Explanation:
M1 machine series Medium in-memory databases such as SAP HANA Tasks that require intensive use of memory with higher memory-to-vCPU ratios than the general-purpose high-memory machine types.
In-memory databases and in-memory analytics, business warehousing (BW) workloads, genomics analysis, SQL analysis services. Microsoft SQL Server and similar databases.
https://cloud.google.com/compute/docs/machine-types
https://cloud.google.com/compute/docs/machine-types#:~:text=databases%20such%20as-,SAP%20HANA,-In%
https://www.sap.com/india/products/hana.html#:~:text=is%20SAP%20HANA-,in%2Dmemory,-database%3F
NEW QUESTION # 27
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