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Associate-Cloud-Engineer Exam Sample & Associate-Cloud-Engineer Authorized Certification

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Google Associate-Cloud-Engineer exam is designed to test the candidate's knowledge of various Google Cloud Platform products and services such as Compute Engine, Kubernetes Engine, Cloud Storage, Stackdriver, and IAM. Associate-Cloud-Engineer Exam also assesses the candidate’s ability to deploy and manage applications, monitor operations, and configure access and security controls.

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To earn the Google Associate-Cloud-Engineer Certification, you need to pass a 2-hour online exam that consists of multiple-choice and multiple-select questions. Associate-Cloud-Engineer exam is designed to test your knowledge of GCP services, including Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, Cloud SQL, Cloud Spanner, and BigQuery. Associate-Cloud-Engineer Exam also assesses your ability to configure and manage GCP services, including networking, security, and access management.

Google Associate Cloud Engineer Exam Sample Questions (Q395-Q400):

NEW QUESTION # 395
Your company plans to migrate its on-premises PostgreSQL database to Google Cloud. The workloads are demanding, requiring fast transactional and analytical performance. You need to select a fully managed database service on Google Cloud. Your solution must also be able to synchronously replicate and optimize the storage layer. What should you do?

A. Create a Compute Engine instance. Install and configure PostgreSQL on the instance, and migrate the database.
B. Use the psqlclient installed on a Compute Engine instance. Connect to the Cloud SQL instance to perform the database migration.
C. Migrate the database to AlloyDB for PostgreSQL by using Database Migration Service.
D. Migrate the database to Cloud SQL for PostgreSQL by using Database Migration Service.

Answer: C

Explanation:
AlloyDB for PostgreSQL is a fully managed, high-performance PostgreSQL-compatible service that provides synchronous replication and an optimized, distributed storage layer. It is designed for demanding transactional and analytical workloads and is the recommended target when migrating enterprise PostgreSQL workloads to Google Cloud.

NEW QUESTION # 396
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?

A. Migrate from MySQL to Cloud Spanner, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.
B. Migrate from MySQL to Cloud Spanner, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.
C. Migrate from MySQL to Cloud SQL, from Kafka to Pub/Sub, and from Cloud SQL for PostgreSQL to BigQuery.
D. Migrate from MySQL to Cloud SQL, from Kafka to Memorystore, and from Cloud SQL for PostgreSQL to Cloud SQL.

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 # 397
The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors.
You expect high throughput ?up to thousands of events per hour per device ?and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

A. Create a file in Cloud Filestore per device and append new data to that file.
B. Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.
C. Create a file in Cloud Storage per device and append new data to that file.
D. Ingest the data into Datastore. Store data in an entity group based on the device.

Answer: D

NEW QUESTION # 398
You have been asked to migrate a docker application from datacenter to cloud. Your solution architect has suggested uploading docker images to GCR in one project and running an application in a GKE cluster in a separate project. You want to store images in the project img-278322 and run the application in the project prod-278986. You want to tag the image as acme_track_n_trace:v1. You want to follow Google-recommended practices. What should you do?

A. Run gcloud builds submit --tag gcr.io/prod-278986/acme_track_n_trace
B. Run gcloud builds submit --tag gcr.io/prod-278986/acme_track_n_trace:v1
C. Run gcloud builds submit --tag gcr.io/img-278322/acme_track_n_trace
D. Run gcloud builds submit --tag gcr.io/img-278322/acme_track_n_trace:v1

Answer: D

Explanation:
Explanation
Run gcloud builds submit tag gcr.io/img-278322/acme_track_n_trace:v1. is the right answer.
This command correctly tags the image as acme_track_n_trace:v1 and uploads the image to the img-278322 project.
Ref: https://cloud.google.com/sdk/gcloud/reference/builds/submit

NEW QUESTION # 399
You developed a new application for App Engine and are ready to deploy it to production. You need to estimate the costs of running your application on Google Cloud Platform as accurately as possible. What should you do?

A. Create a ticket with Google Cloud Billing Support to get an accurate estimation.
B. Use the pricing calculator for App Engine to get an accurate estimation of the expected charges.
C. Multiply the costs of your application when it was in development by the number of expected users to get an accurate estimation.
D. Create a YAML file with the expected usage. Pass this file to the "gcloud app estimate" command to get an accurate estimation.

Answer: B

Explanation:
A is not correct because that command will generate an error and not give you an estimation on workloads.
B is not correct because this does not result in an accurate estimation.
C is correct because this is the proper way to estimate charges.
D is not correct because billing support is available to help you set up billing and understand invoices, not to make estimations.

NEW QUESTION # 400
......

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