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Exam Associate Cloud Engineer All Questions

View all questions & answers for the Associate Cloud Engineer exam

Exam Associate Cloud Engineer topic 1 question 3 discussion

Actual exam question from Google's Associate Cloud Engineer
Question #: 3
Topic #: 1
[All Associate Cloud Engineer Questions]

You want to select and configure a cost-effective solution for relational data on Google Cloud Platform. You are working with a small set of operational data in one geographic location. You need to support point-in-time recovery. What should you do?

  • A. Select Cloud SQL (MySQL). Verify that the enable binary logging option is selected.
  • B. Select Cloud SQL (MySQL). Select the create failover replicas option.
  • C. Select Cloud Spanner. Set up your instance with 2 nodes.
  • D. Select Cloud Spanner. Set up your instance as multi-regional.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

Comments

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YashBindlish
Highly Voted 2 months ago
A is Correct. You must enable binary logging to use point-in-time recovery. Enabling binary logging causes a slight reduction in write performance. https://cloud.google.com/sql/docs/mysql/backup-recovery/backups
upvoted 51 times
ryumada
2 months ago
In this link below, the docs explains clearly that point-in-time recovery requires binary logging. https://cloud.google.com/sql/docs/mysql/backup-recovery/pitr#disk-usage
upvoted 4 times
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Bharathy
Highly Voted 4 years, 8 months ago
A is correct, as Binary Logging enables Point in Recovery in Cloud SQL
upvoted 11 times
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denno22
Most Recent 2 months ago
Selected Answer: A
https://cloud.google.com/sql/docs/mysql/backup-recovery/restore#tips-pitr
upvoted 1 times
denno22
1 month, 1 week ago
When you create a Cloud SQL instance in the Google Cloud console, PITR is enabled by default. PITR uses binary logging to archive logs.
upvoted 1 times
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harsh5kalsait
2 months ago
**Best Choice: A** Cloud SQL (MySQL) with binary logging enabled will provide point-in-time recovery capabilities, which meet your requirement for relational data in a single geographic location. It is also cost-effective for smaller datasets compared to Cloud Spanner.
upvoted 1 times
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MUNHU
5 months, 2 weeks ago
I agree with A
upvoted 1 times
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Ele24
9 months, 1 week ago
Selected Answer: A
A is Correct
upvoted 1 times
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MiscoMove
11 months, 2 weeks ago
Selected Answer: A
A is right answer!
upvoted 1 times
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thewalker
1 year ago
Selected Answer: A
No need of Cloud Spanner in this scenario. A is correct.
upvoted 1 times
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BAofBK
1 year ago
The answer is A
upvoted 1 times
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guicane
1 year, 1 month ago
Selected Answer: A
A is correct
upvoted 1 times
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Evan7557
1 year, 1 month ago
A is Correct
upvoted 1 times
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YourCloudGuru
1 year, 2 months ago
Correct answer is A. Cloud SQL is a fully-managed relational database service that supports MySQL, PostgreSQL, and SQL Server. It offers high availability, automatic backups, and point-in-time recovery. By enabling binary logging, you can restore your database to a specific point in time. Cloud SQL is a cost-effective solution for small sets of operational data in one geographic location. It is also a good choice for developers who are familiar with MySQL.
upvoted 4 times
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Captain1212
1 year, 2 months ago
for point in recovery - binary logging a is the correct answer
upvoted 1 times
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Mogamat
1 year, 4 months ago
Answe A
upvoted 1 times
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TSEMSOUS
1 year, 5 months ago
A is the correct answer Answer A: small set of operational data in one geographic location - CloudSQL (Cloud Spanner generally to hold large data and global)
upvoted 2 times
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sabrinakloud
1 year, 7 months ago
Selected Answer: A
Option A: https://cloud.google.com/sql/docs/mysql/backup-recovery/pitr Perform the point-in-time recovery using binary log positions While we recommend you perform point-in-time recovery using timestamps as described in the previous procedure, you can also perform point-in-time recovery by providing a specific binary log position in a binary log file.
upvoted 1 times
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Partha117
1 year, 8 months ago
Selected Answer: A
Binary logging and Cloud SQL is correct fit
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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