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Snowflake Exam ADA-C01 Topic 2 Question 24 Discussion

Actual exam question for Snowflake's ADA-C01 exam
Question #: 24
Topic #: 2
[All ADA-C01 Questions]

What is a characteristic of Snowflake's transaction locking and concurrency modeling?

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Suggested Answer: A

According to the Snowflake documentation1, Snowflake uses a multi-version concurrency control (MVCC) model, which means that each transaction operates on a consistent snapshot of the database at a point in time. This allows queries and DML statements to run concurrently without blocking each other, as they do not modify the same data. Therefore, a deadlock, which occurs when concurrent transactions are waiting on resources that are locked by each other, cannot happen in Snowflake. Option B is incorrect because queries and DML statements do not block each other in Snowflake, unless they are explicitly started transactions and multiple statements in each transaction2. Option C is incorrect because transaction locking in Snowflake is enforced at the partition level, not the row or table level3. Option D is incorrect because queries executed within a given transaction do not see that transaction's uncommitted changes, but only the committed changes that occurred before the transaction started1.


Contribute your Thoughts:

Jennie
2 months ago
All these options sound like some kind of sorcery to me. I'll just go with whichever one has the most dragons in it.
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Kimberlie
1 months ago
C) Transaction locking in Snowflake is enforced exclusively at the row and table levels.
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Elinore
1 months ago
B) If two queries are concurrently executed against the same table, one of the two queries will be blocked until the other query completes.
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Carline
1 months ago
A) A deadlock cannot occur in Snowflake, since concurrently executed queries and DML statements do not block one another.
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Chauncey
2 months ago
But A makes sense because Snowflake does not block queries.
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Matt
2 months ago
D looks good to me. Being able to see your own uncommitted changes is a must-have feature.
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Delbert
1 months ago
User 4: Snowflake's transaction locking and concurrency modeling seems really efficient.
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Lynelle
1 months ago
User 3: Definitely, it helps with maintaining data integrity.
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Timothy
2 months ago
I agree, it's important to have that visibility within a transaction.
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Alita
2 months ago
D looks good to me. Being able to see your own uncommitted changes is a must-have feature.
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Andree
2 months ago
I disagree, I believe the answer is C.
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Chauncey
2 months ago
I think the answer is A.
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Amber
3 months ago
I'm going with C. Locking at the row and table levels is the way to go for a data warehouse like Snowflake.
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Lisha
1 months ago
I see your point, but I still think B is the best option. One query will be blocked if two are executed concurrently.
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Kasandra
2 months ago
I'm sticking with C. Locking at the row and table levels makes the most sense for Snowflake.
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Ronald
2 months ago
I disagree, I believe D is the right choice. Queries within a transaction see uncommitted changes.
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Stephaine
2 months ago
I think A is the correct answer. Deadlocks cannot occur in Snowflake.
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Emilio
3 months ago
A seems legit. No deadlocks? Sounds like a dream come true for developers!
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Oren
2 months ago
That does sound like a dream come true for developers!
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Hermila
2 months ago
A deadlock cannot occur in Snowflake, since concurrently executed queries and DML statements do not block one another.
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