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Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take? Choose 2 answers
Suggested Answer: A, E
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32 comments · newest first
TR
Truman
10 months ago
I agree, E and A are the best options here!
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Flo
10 months ago
Wait, can you really store that much in Cloud Storage?
LO
Lourdes
10 months ago
A is a solid choice for analytics too!
RO
Royal
11 months ago
Not sure about B, seems less suited for this task.
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Colby
11 months ago
Definitely go with E, Cloud Storage is perfect for archiving!
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Reita
11 months ago
I definitely recall that Google Cloud Storage is the go-to for archiving, but I’m not sure if Stackdriver is the right choice for analytics.
MI
Mirta
11 months ago
I’m a bit confused about whether Cloud SQL is suitable for this kind of data. I thought it was more for structured data, but maybe I’m wrong?
GA
Gabriele
11 months ago
I remember practicing a similar question where we had to choose between different Google services. I feel like BigQuery might be a good fit for analytics.
JO
Johnetta
12 months ago
I think uploading the log files into Google Cloud Storage makes sense for long-term storage, but I'm not sure about the second option.
HA
Han
12 months ago
Hmm, I'm not sure about Stackdriver or Bigtable. Those don't seem like the right fit for this scenario. I'll focus on the cloud storage and analytics options.
CR
Craig
1 year ago
This is straightforward - upload the logs to Google Cloud Storage for long-term backup, and use BigQuery for the analytics features. Easy peasy!
ME
Melvin
1 year ago
I'm a bit confused on the difference between the cloud storage options. I'll need to review the details of each one to decide.
LA
Lai
1 year ago
Okay, I think I've got this. Google BigQuery and Google Cloud Storage seem like the best choices to meet the requirements.
AN
Annita
1 year ago
Hmm, this looks like a tricky one. I'll need to think through the options carefully to make sure I choose the right steps.
VI
Viva
1 year ago
E) and A) are the clear winners here. Gotta love a two-for-one deal on the exam questions.
LA
Laila
1 year ago
E) and A) are the clear winners here. Gotta love a two-for-one deal on the exam questions.
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Ronald
1 year ago
A) Load logs into Google BigQuery.
CO
Cordelia
1 year ago
E) Upload log files into Google Cloud Storage.
BU
Buffy
1 year ago
After that, we can load logs into Google BigQuery for testing the analytics features.
AL
Alpha
1 year ago
I agree with Jordan. That's a good first step to archive the log data.
DA
Dacia
1 year ago
Haha, B) Load logs into Google Cloud SQL? What is this, the 90s? Cloud SQL is for relational data, not logs!
DA
Daniel
1 year ago
I agree, Cloud SQL is definitely not the right choice for log data.
AB
Abel
1 year ago
E) Upload log files into Google Cloud Storage.
DE
Delsie
1 year ago
A) Load logs into Google BigQuery.
DO
Dona
1 year ago
D) Insert logs into Google Cloud Bigtable? Really? I don't think that's the best fit for simple log data. Seems a bit overkill.
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Jordan
1 year ago
I think we should upload log files into Google Cloud Storage first.
MA
Mari
2 years ago
I think A) Load logs into Google BigQuery is a good choice too. It will let them explore the analytics features without a huge commitment.
CA
Carry
1 year ago
E) Upload log files into Google Cloud Storage is essential for long-term disaster recovery backup.
JE
Jeanice
1 year ago
I agree, starting with A) Load logs into Google BigQuery is a low-risk way to test the analytics features.
TU
Tula
1 year ago
E) Upload log files into Google Cloud Storage is also important for archiving.
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Virgina
1 year ago
A) Load logs into Google BigQuery sounds like a good option.
SC
Scarlet
2 years ago
E) Upload log files into Google Cloud Storage definitely seems like the way to go. It's a low-risk, long-term storage option that can also integrate with their analytics tools.