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Question 67 - DEA-C01 discussion

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A company uses an Amazon Redshift provisioned cluster as its database. The Redshift cluster has five reserved ra3.4xlarge nodes and uses key distribution.

A data engineer notices that one of the nodes frequently has a CPU load over 90%. SQL Queries that run on the node are queued. The other four nodes usually have a CPU load under 15% during daily operations.

The data engineer wants to maintain the current number of compute nodes. The data engineer also wants to balance the load more evenly across all five compute nodes.

Which solution will meet these requirements?

A.

Change the sort key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement.

Answers
A.

Change the sort key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement.

B.

Change the distribution key to the table column that has the largest dimension.

Answers
B.

Change the distribution key to the table column that has the largest dimension.

C.

Upgrade the reserved node from ra3.4xlarqe to ra3.16xlarqe.

Answers
C.

Upgrade the reserved node from ra3.4xlarqe to ra3.16xlarqe.

D.

Change the primary key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement.

Answers
D.

Change the primary key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement.

Suggested answer: B

Explanation:

Changing the distribution key to the table column that has the largest dimension will help to balance the load more evenly across all five compute nodes. The distribution key determines how the rows of a table are distributed among the slices of the cluster. If the distribution key is not chosen wisely, it can cause data skew, meaning some slices will have more data than others, resulting in uneven CPU load and query performance. By choosing the table column that has the largest dimension, meaning the column that has the most distinct values, as the distribution key, the data engineer can ensure that the rows are distributed more uniformly across the slices, reducing data skew and improving query performance.

The other options are not solutions that will meet the requirements. Option A, changing the sort key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement, will not affect the data distribution or the CPU load. The sort key determines the order in which the rows of a table are stored on disk, which can improve the performance of range-restricted queries, but not the load balancing. Option C, upgrading the reserved node from ra3.4xlarge to ra3.16xlarge, will not maintain the current number of compute nodes, as it will increase the cost and the capacity of the cluster. Option D, changing the primary key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement, will not affect the data distribution or the CPU load either. The primary key is a constraint that enforces the uniqueness of the rows in a table, but it does not influence the data layout or the query optimization.Reference:

Choosing a data distribution style

Choosing a data sort key

Working with primary keys

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asked 29/10/2024
Jevgenij Žarikov
39 questions
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