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Microsoft Exam DP-300 Topic 5 Question 113 Discussion

Actual exam question for Microsoft's DP-300 exam
Question #: 113
Topic #: 5
[All DP-300 Questions]

You are designing a date dimension table in an Azure Synapse Analytics dedicated SQL pool. The date

dimension table will be used by all the fact tables.

Which distribution type should you recommend to minimize data movement?

Show Suggested Answer Hide Answer
Suggested Answer: B

A replicated table has a full copy of the table available on every Compute node. Queries run fast on replicated tables since joins on replicated tables don't require data movement. Replication requires extra storage, though, and isn't practical for large tables.

Incorrect Answers:

C: A round-robin distributed table distributes table rows evenly across all distributions. The assignment of rows to distributions is random. Unlike hash-distributed tables, rows with equal values are not guaranteed to be assigned to the same distribution.

As a result, the system sometimes needs to invoke a data movement operation to better organize your data before it can resolve a query.


https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-tables-distribute

Contribute your Thoughts:

Laquanda
1 months ago
HASH distribution, definitely. Anything to avoid the dreaded 'data movement' in my reports. I'm not trying to be the laughingstock of the data team!
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Tabetha
1 months ago
Hmm, HASH distribution seems like the logical choice. Can't go wrong with that. Unless you want to be the one explaining all the extra data movement to the boss.
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Josue
5 days ago
User 3: Agreed, no need to complicate things with extra data movement.
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Sommer
14 days ago
User 2: Yeah, it will minimize data movement for sure.
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Alberta
15 days ago
User 1: I think HASH distribution is the way to go.
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Lashon
2 months ago
HASH distribution is the way to go. I don't want to be the one responsible for excessive data movement in the data warehouse!
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Charlene
9 days ago
User 3: Definitely, we don't want any unnecessary data shuffling around.
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Mozell
11 days ago
User 2: I agree, we need to make sure the data is distributed efficiently.
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Antonio
1 months ago
User 1: HASH distribution is definitely the best choice for minimizing data movement.
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Lillian
2 months ago
I'm not sure, but I think REPLICATE distribution could also be a good option to consider.
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Jesusa
2 months ago
HASH distribution sounds like the way to go here. It will ensure that related data is collocated on the same compute node, reducing data movement.
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Dawne
23 hours ago
Definitely go with HASH distribution to minimize data movement in this case.
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Alecia
4 days ago
I think HASH distribution is the most efficient choice for this scenario.
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Regenia
6 days ago
HASH distribution is the best option for ensuring related data is collocated on the same compute node.
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Sueann
2 months ago
I agree, using HASH distribution will definitely help with minimizing data movement.
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Lorrie
2 months ago
I think the correct answer is HASH distribution. It should minimize data movement across the compute nodes in the dedicated SQL pool.
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Mike
1 months ago
Yes, HASH distribution ensures that related data is stored together, reducing the need to move data around.
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Toi
2 months ago
I agree, HASH distribution is the way to go for minimizing data movement.
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Margret
3 months ago
I agree with Socorro. HASH distribution will help optimize performance for all fact tables.
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Socorro
3 months ago
I think we should recommend HASH distribution to minimize data movement.
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