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Google Associate Cloud Engineer Exam Sample Questions (Q324-Q329):
NEW QUESTION # 324
A Solutions Architect is designing a three-tier web application that will allow customers to upload pictures from a mobile application. The application will then generate a thumbnail of the picture and return a message to the user confirming that the image was successfully uploaded. Generation of the thumbnail may take up to 5 seconds. To provide a sub second response time to the customers uploading the images, the Solutions Architect wants to separate the web tier from the application tier.
Which service would allow the presentation tier to asynchronously dispatch the request to the application tier?
Answer: B
NEW QUESTION # 325
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 SQL for PostgreSQL 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: A
Explanation:
Cloud Spanner, Pub/Sub, and BigQuery are Google-recommended solutions for migrating your on-premises data management solutions to Google Cloud. They provide global scalability and require minimal operational and infrastructure management. Here is why:
Cloud Spanner is a fully managed, relational database service that offers strong consistency, high availability, and horizontal scalability across regions and continents. It is compatible with MySQL and can handle high-throughput OLTP workloads. It is a good choice for migrating your main database from MySQL to Google Cloud, as it can support your application's performance, availability, and growth requirements.
Pub/Sub is a fully managed, real-time messaging service that allows you to send and receive messages between independent applications. It is compatible with Apache Kafka and can handle high-volume event streaming and data ingestion. It is a good choice for migrating your event streaming platform from Kafka to Google Cloud, as it can support your application's reliability, scalability, and flexibility requirements.
BigQuery is a fully managed, serverless data warehouse that offers fast SQL queries, high scalability, and low cost. It is compatible with Cloud SQL for PostgreSQL and can handle complex analytical and reporting needs. It is a good choice for migrating your analytical and reporting database from Cloud SQL for PostgreSQL to Google Cloud, as it can support your application's speed, efficiency, and innovation requirements.
The other options are not correct because they either do not provide the required scalability, performance, or functionality. Option A is not correct because Cloud SQL is a regional, managed database service that does not offer the same level of scalability, availability, and consistency as Cloud Spanner. Option C is not correct because Memorystore is a regional, managed in-memory data store that does not offer the same level of functionality, durability, and integration as Pub/Sub. Option D is not correct because Cloud SQL is a regional, managed database service that does not offer the same level of scalability, performance, and cost-effectiveness as BigQuery.
Reference:
Migrating from MySQL to Cloud Spanner
Migrating from Apache Kafka to Cloud Pub/Sub
Migrating from Cloud SQL for PostgreSQL to BigQuery
NEW QUESTION # 326
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?
Answer: A
NEW QUESTION # 327
You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google-recommended practices to provide the application with access to Cloud Storage. What should you do?
Answer: C
NEW QUESTION # 328
(You deployed an application on a managed instance group in Compute Engine. The application accepts Transmission Control Protocol (TCP) traffic on port 389 and requires you to preserve the IP address of the client who is making a request. You want to expose the application to the internet by using a load balancer.
What should you do?)
Answer: B
Explanation:
An external passthrough Network Load Balancer operates at layer 4 (TCP/UDP) and preserves the original client IP address. This is a key requirement stated in the question. It's also designed for external-facing applications that need to handle TCP or UDP traffic directly without proxying at the application layer.
Option A: An internal passthrough Network Load Balancer is used for load balancing traffic within a Virtual Private Cloud (VPC) network, not for exposing applications to the public internet.
Option C & D: Global and regional external proxy Network Load Balancers operate at layer 7 (HTTP
/HTTPS) or use a proxy for TCP/SSL, which means they terminate the client connection at the load balancer and establish a new connection to the backend instances. This does not preserve the original client IP address by default (though there are ways to retrieve it via headers, it's not a direct passthrough).
Reference to Google Cloud Certified - Associate Cloud Engineer Documents:
The different types of Google Cloud Load Balancers, their operating layers (L4 vs. L7), and their capabilities, including client IP preservation, are thoroughly documented in the Google Cloud Load Balancing documentation, a critical area for the Associate Cloud Engineer certification. The distinction between passthrough and proxy load balancers is essential.
NEW QUESTION # 329
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