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Google Associate-Cloud-Engineer Exam Tests - Relevant Associate-Cloud-Engineer Answers
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To prepare for the exam, candidates should have a strong understanding of cloud computing concepts, including virtualization, networking, storage, and security. They should also be familiar with GCP services and have experience deploying and managing them. Google recommends that candidates have at least six months of experience with GCP before taking the exam.
Google Associate Cloud Engineer Certification Exam is a valuable certification that can help individuals boost their career prospects and increase their earning potential. Google Associate Cloud Engineer Exam certification is recognized globally and is highly respected in the cloud computing industry. By obtaining this certification, professionals can demonstrate their ability to design, develop, and manage cloud solutions on the Google Cloud Platform, which can open up numerous job opportunities in various industries. Overall, the Google Associate Cloud Engineer Certification Exam is an excellent choice for professionals who want to enhance their skills and advance their career in cloud computing.
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Google Associate Cloud Engineer Exam Sample Questions (Q75-Q80):
NEW QUESTION # 75
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?
- A. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30 - B. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2. Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3. Configure the instance's crontab to execute these scripts daily at 1:00 AM. - C. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
- Schedule frequency: Daily
- Start time: 1:00 AM ?2:00 AM
- Autodelete snapshots after 30 days - D. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2. Create a Cloud Function that deletes snapshots that are older than 30 days.
3. Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
Answer: C
Explanation:
Creating scheduled snapshots for persistent disk
This document describes how to create a snapshot schedule to regularly and automatically back up your zonal and regional persistent disks. Use snapshot schedules as a best practice to back up your Compute Engine workloads. After creating a snapshot schedule, you can apply it to one or more persistent disks.
https://cloud.google.com/compute/docs/disks/scheduled-snapshots
NEW QUESTION # 76
Your company has a single sign-on (SSO) identity provider that supports Security Assertion Markup Language (SAML) integration with service providers. Your company has users in Cloud Identity. You would like users to authenticate using your company's SSO provider.
What should you do?
- A. Obtain OAuth 2.0 credentials, configure the user consent screen, and set up OAuth 2.0 for Mobile
& Desktop Apps. - B. Obtain OAuth 2.0 credentials, configure the user consent screen, and set up OAuth 2.0 for Web Server Applications.
- C. In Cloud Identity, set up SSO with a third-party identity provider with Google as a service provider.
- D. In Cloud Identity, set up SSO with Google as an identity provider to access custom SAML apps.
Answer: C
Explanation:
https://support.google.com/cloudidentity/answer/6262987?hl=en&ref_topic=7558767 Google offers a SAML-based single sign-on (SSO) service that provides partner companies with full control over the authorization and authentication of hosted user accounts that can access web-based applications like Gmail or Google Calendar. Using the SAML model, Google acts as the service provider and provides services such as Gmail and Start Pages.
NEW QUESTION # 77
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. Create a file in Cloud Storage per device and append new data to that file.
- C. Ingest the data into Datastore. Store data in an entity group based on the device.
- D. Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.
Answer: D
Explanation:
Explanation
Keyword need to look for
- "High Throughput",
- "Consistent",
- "Property based data insert/fetch like ngine status, distance traveled, fuel level, and more." which can be designed in column,
- "Large Scale Customer Base + Each Customer has multiple sensor which send event in seconds" This will go for pera bytes situation,
- Export data based on the time of the event.
- Atomic
o BigTable will fit all requirement.
o DataStore is not fully Atomic
o CloudStorage is not a option where we can export data based on time of event. We need another solution to do that o FireStore can be used with MobileSDK.
NEW QUESTION # 78
You are designing an application that lets users upload and share photos. You expect your application to grow really fast and you are targeting a worldwide audience. You want to delete uploaded photos after 30 days. You want to minimize costs while ensuring your application is highly available. Which GCP storage solution should you choose?
- A. Cloud Filestore.
- B. Cloud Datastore database.
- C. Persistent SSD on VM instances.
- D. Multiregional Cloud Storage bucket.
Answer: D
Explanation:
Explanation
Cloud Storage allows world-wide storage and retrieval of any amount of data at any time. We dont need to set up auto-scaling ourselves. Cloud Storage autoscaling is managed by GCP. Cloud Storage is an object store so it is suitable for storing photos. Cloud Storage allows world-wide storage and retrieval so cater well to our worldwide audience. Cloud storage provides us lifecycle rules that can be configured to automatically delete objects older than 30 days. This also fits our requirements. Finally, Google Cloud Storage offers several storage classes such as Nearline Storage ($0.01 per GB per Month) Coldline Storage ($0.007 per GB per Month) and Archive Storage ($0.004 per GB per month) which are significantly cheaper than any of the options above.
Ref: https://cloud.google.com/storage/docs
Ref: https://cloud.google.com/storage/pricing
NEW QUESTION # 79
Your application stores files on Cloud Storage by using the Standard Storage class. The application only requires access to files created in the last 30 days. You want to automatically save costs on files that are no longer accessed by the application. What should you do?
- A. Enable object versioning on the storage bucket and add lifecycle rules to expire non-current versions after 30 days.
- B. Create a cron job in Cloud Scheduler to call a Cloud Functions instance every day to delete files older than 30 days.
- C. Create an object lifecycle on the storage bucket to change the storage class to Archive Storage for objects with an age over 30 days.
- D. Create a retention policy on the storage bucket of 30 days, and lock the bucket by using a retention policy lock.
Answer: C
Explanation:
Object lifecycle management is a feature of Cloud Storage that allows you to automatically manage the storage class and retention of your objects. You can use object lifecycle management to reduce the cost of storing your data by transitioning objects to lower-cost storage classes, such as Archive Storage, which is designed for long-term storage of data that is rarely accessed. You can also use object lifecycle management to delete objects that are no longer needed after a certain period of time. To use object lifecycle management, you need to create a lifecycle configuration, which is a set of rules that specify the actions to take on objects that match certain conditions. You can apply a lifecycle configuration to a storage bucket, and it will affect all objects in that bucket.
In this scenario, you want to automatically save costs on files that are no longer accessed by the application after 30 days. Therefore, you should create an object lifecycle on the storage bucket to change the storage class to Archive Storage for objects with an age over 30 days. This way, you can keep the files in the bucket, but pay less for storing them. Archive Storage has the lowest cost per GB among all storage classes, but also has the highest retrieval and early deletion fees. Therefore, it is suitable for data that is rarely accessed and has a long retention period.
The other options are not correct because they either do not reduce the cost of storage, or they delete the files that you may still need. Option A is not correct because enabling object versioning on the storage bucket and adding lifecycle rules to expire non-current versions after 30 days will only affect the old versions of the files, not the current ones. Therefore, you will still pay the same amount for storing the current files in the Standard Storage class. Option C is not correct because creating a retention policy on the storage bucket of 30 days, and locking the bucket by using a retention policy lock will prevent you from deleting or modifying any object in the bucket for 30 days. This will not reduce the cost of storage, and it will also limit your flexibility to manage your data. Option D is not correct because creating a cron job in Cloud Scheduler to call a Cloud Functions instance every day to delete files older than 30 days will permanently remove the files from the bucket. This may not be what you want, as you may still need to access the files for backup, audit, or compliance purposes.
Reference:
Object Lifecycle Management
Storage Classes
Archive Storage
NEW QUESTION # 80
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