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Salesforce Certified Heroku Architect (Plat-Arch-206) Exam - Topic 3 Question 50 Discussion

Actual exam question for Salesforce's Salesforce Certified Heroku Architect (Plat-Arch-206) exam
Question #: 50
Topic #: 3
[All Salesforce Certified Heroku Architect (Plat-Arch-206) Questions]

For which two use cases should an Architect recommend using Heroku Redis? (Choose two.)

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Suggested Answer: D

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Lamar
5 months ago
I thought Redis was only for caching, but I guess it can handle queues too!
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Danica
5 months ago
D is a no-go for Redis, it’s not meant for that.
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Brent
5 months ago
Wait, long-term data warehousing? That’s not right, is it?
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Laila
5 months ago
I agree, B and C are spot on!
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Rasheeda
6 months ago
Definitely B and C! Perfect for queues and caching.
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Annabelle
6 months ago
I practiced a similar question, and I think providing a data cache layer is definitely a use case, but I'm unsure about the second one.
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Isreal
6 months ago
I feel like long-term data warehousing isn't a good fit for Redis, so I would lean towards B and C.
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Wendell
6 months ago
I'm not entirely sure, but I remember something about using Redis for job queues. Could that be option B?
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Quentin
6 months ago
I think Heroku Redis is great for caching, so maybe option C is one of the answers.
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Marguerita
6 months ago
The key is to identify the use cases that play to Heroku Redis's strengths as an in-memory data store. I'll eliminate the less relevant options.
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Sheron
6 months ago
Okay, I think I've got it. Heroku Redis is great for caching and queuing, but not for long-term data storage or relational queries.
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Shad
6 months ago
Hmm, I'm a bit unsure about the differences between data warehousing and a data cache layer. I'll need to review those concepts before answering.
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Rashad
7 months ago
This question seems straightforward. I'll focus on the use cases that are most relevant to Heroku Redis.
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Grover
7 months ago
I think I know this one - the Deployment Report in VIOM shows the version of the InfoScale product installed on the host, and how discovered storage is being consumed by host.
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Long
12 months ago
I'm just gonna go ahead and say it: if you choose A or D, you might as well be using a carrier pigeon instead of Heroku Redis. B and C all the way, folks!
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Martina
10 months ago
C) Providing a data cache layer
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Rima
11 months ago
B) Adding jobs to a queue
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Leontine
11 months ago
A) Providing long-term data warehousing
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Cathrine
1 year ago
Heroku Redis, the ultimate solution for your caching and queueing needs! I'm feeling pretty confident about B and C on this one. Though maybe I should have a quick Redis tutorial just to be sure...
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Erinn
10 months ago
Maybe a quick Redis tutorial would help solidify your understanding of its capabilities.
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Kayleigh
10 months ago
I agree, those are the two main reasons an Architect would recommend using Heroku Redis.
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Elfrieda
11 months ago
Yeah, adding jobs to a queue and providing a data cache layer are common use cases for Heroku Redis.
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Howard
11 months ago
I think B and C are the right choices for using Heroku Redis.
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Anisha
1 year ago
Well, well, well, look who's trying to trick us with that data warehousing nonsense. C'mon, everyone knows Heroku Redis is for caching and queuing. I'm gonna go with B and C and call it a day.
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Cyril
1 year ago
I'm not sure about that, I think D could also be a valid use case for Heroku Redis.
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Isabella
1 year ago
Ooh, this is a tricky one! I'm leaning towards B and C. Heroku Redis is all about that sweet, sweet in-memory caching and job queueing action, am I right?
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Henriette
11 months ago
Definitely, those are the two main use cases for it.
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Leah
11 months ago
I think you're right, B and C make sense for Heroku Redis.
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Chantay
1 year ago
I'm pretty sure Heroku Redis is for caching and queuing, not for data warehousing. A and D are definitely not the right answers here.
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Levi
12 months ago
D) Querying relational data
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Erasmo
12 months ago
I agree, Heroku Redis is definitely used for caching and queuing.
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Berry
12 months ago
C) Providing a data cache layer
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Sabrina
12 months ago
B) Adding jobs to a queue
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Monte
1 year ago
I agree with Bernadine, using Heroku Redis for adding jobs to a queue and providing a data cache layer makes sense.
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Bernadine
1 year ago
I think the answer is B and C.
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