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Google Professional Data Engineer Exam - Topic 4 Question 76 Discussion

You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?
C) Set the BigQuery dataset to be multi-regional. In the event of an emergency, use a point-in-time snapshot to recover the data.
A) Set the BigQuery dataset to be regional. In the event of an emergency, use a point-in-time snapshot to recover the data.
B) Set the BigQuery dataset to be regional. Create a scheduled query to make copies of the data to tables suffixed with the time of the backup. In the event of an emergency, use the backup copy of the table.
D) Set the BigQuery dataset to be multi-regional. Create a scheduled query to make copies of the data to tables suffixed with the time of the backup. In the event of an emergency, use the backup copy of the table.

Google Professional Data Engineer Exam - Topic 4 Question 76 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 76
Topic #: 4
[All Professional Data Engineer Questions]

You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?

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Suggested Answer: C

by Lorrie at Jan 23, 2024, 01:07 AM

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Kenneth
6 months ago
Wait, can you really recover from a point-in-time snapshot? Sounds risky!
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Jody
7 months ago
Totally agree with B, scheduled queries are the way to go!
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Aracelis
7 months ago
Multi-regional seems excessive for most use cases.
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Casey
7 months ago
I think B is better for more control over backups.
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Starr
7 months ago
Option A is solid for cost efficiency.
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Princess
7 months ago
I lean towards option D since it combines multi-regional storage with scheduled backups, which seems like a solid strategy for minimizing downtime.
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Macy
8 months ago
I feel like point-in-time snapshots could be a good choice, but I can't recall if they work better with regional or multi-regional settings.
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Rosina
8 months ago
I think option B sounds familiar because we practiced creating scheduled queries for backups, but I'm not entirely confident about the cost implications.
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Tegan
8 months ago
I remember we discussed the importance of using multi-regional datasets for high availability, but I'm not sure if snapshots are the best option for recovery.
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Joni
8 months ago
I'm feeling pretty confident about this one. The key is to leverage BigQuery's built-in features for high availability and disaster recovery.
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Luisa
8 months ago
Okay, I think I've got a strategy. I'll want to set the dataset to be multi-regional for high availability, and then create scheduled backups to protect against data loss.
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Dean
8 months ago
Hmm, I'm a bit confused. I'm not sure if I fully understand the differences between regional and multi-regional datasets in BigQuery.
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Vallie
8 months ago
This is a tricky one. I'll need to think carefully about the trade-offs between cost, availability, and recovery options.
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Tyra
8 months ago
Hmm, I'm a little unsure on this one. I know a social security card is used to verify identity, but I'm not sure if that's enough to prove authorization to work. I'll have to think this through carefully.
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Erick
8 months ago
Regarding D, I think it could be misleading because not all automated systems fix vulnerabilities immediately after a patch release; there might be some conditions involved.
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Casey
8 months ago
Hmm, the question is asking about a service that's timing out due to heavy database load. I'm thinking the service autonomy principle might be the best approach here, since the service should be able to handle the database load independently.
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Walton
8 months ago
Okay, let me think this through. I believe the key is that the hash of the previous block is included in the header of the current block, creating a cryptographic link between them. That way, any tampering with a past block would be detected.
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Ruthann
8 months ago
The question is asking about the correct description of the DR, so I'll need to carefully read through the options and apply my knowledge of OSPF to determine the right answer.
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Wilburn
1 year ago
Time to channel my inner data-wrangling superhero! These options are like a buffet of backup strategies. I'll take one of each, please!
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Sylvie
1 year ago
Definitely option D. Why not go all-out and get the best of both worlds? Multi-regional storage and scheduled backups - can't beat that for high availability and peace of mind.
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Sherman
12 months ago
Having both multi-regional storage and scheduled backups is definitely the way to go for peace of mind.
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Vilma
12 months ago
Scheduled backups are crucial for minimizing data loss in case of emergencies.
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Lisha
12 months ago
Definitely, option D seems like the most reliable choice for minimizing cost and maximizing data availability.
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Stevie
1 year ago
I agree, having both multi-regional storage and scheduled backups is a great way to ensure high availability of the data.
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Susana
1 year ago
I think setting the dataset to be multi-regional is a smart move for data redundancy.
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Daren
1 year ago
I agree, option D seems like the most reliable choice for high availability.
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Laurene
1 year ago
Option D sounds like the best choice. Multi-regional storage and scheduled backups seem like a solid strategy.
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Tamar
1 year ago
Hmm, I'm not sure. Option A seems a bit risky - relying solely on point-in-time snapshots could be problematic. I think I'll go with option B or D.
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Eun
1 year ago
I think both options B and D provide a good balance of availability and cost efficiency.
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Yvette
1 year ago
I'm leaning towards option D. Having scheduled backups seems like a good idea.
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Rebecka
1 year ago
I agree, option A does seem risky. I think option B is a safer choice.
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Julieta
1 year ago
I'm leaning towards option D. Multi-regional storage with scheduled backups seems like the safest bet to protect against any outages or data loss.
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Elroy
1 year ago
Definitely, having a solid backup and recovery strategy is crucial for maintaining data availability.
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Teri
1 year ago
It's always better to be safe than sorry when it comes to data storage and recovery.
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Yoko
1 year ago
I agree, having scheduled backups also ensures that you have recent copies of the data in case of emergencies.
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Paris
1 year ago
Option D sounds like a good choice. Multi-regional storage provides redundancy in case of failures.
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Carisa
1 year ago
Option B looks like the best choice to me. Keeping the dataset regional and creating scheduled backups seems like a cost-effective way to ensure high availability and easy recovery.
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Mirta
1 year ago
I agree, setting the dataset to be regional and creating scheduled backups is a good strategy to minimize cost while ensuring data availability.
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Jody
1 year ago
Option B looks like the best choice to me. Keeping the dataset regional and creating scheduled backups seems like a cost-effective way to ensure high availability and easy recovery.
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Anglea
1 year ago
I agree, setting the dataset to be regional and creating scheduled backups is a good strategy to minimize cost while ensuring data availability.
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Ilda
1 year ago
Option B looks like the best choice to me. Keeping the dataset regional and creating scheduled backups seems like a cost-effective way to ensure high availability and easy recovery.
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Fallon
1 year ago
That's a good point, Tammara. Having multiple backup copies with time stamps can indeed be useful for quick recovery. I might reconsider my choice.
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Tammara
1 year ago
I disagree, I believe option B is better. Creating scheduled backups with time suffixes provides more flexibility in case of emergencies.
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Fallon
1 year ago
I think option A is the best choice. Regional setting with point-in-time snapshot for recovery sounds efficient.
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