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NEW QUESTION: 1
You have a large partitioned fact table in a data warehouse. The table is stored as a clustered index.
You need to modify the indexing solution to minimize the amount of disk space required to store the table.
What should you do?
A. Implement a nonclustered columnstore index.
B. Enable row compression for the clustered index.
C. Implement a clustered columnstore index.
D. Enable page compression for the clustered index.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Use a clustered columnstore index for large data warehouse tables.
The clustered columnstore index is more than an index, it is the primary table storage. It achieves high data compression and a significant improvement in query performance on large data warehousing fact and dimension tables. Clustered columnstore indexes are best suited for analytics queries rather than transactional queries, since analytics queries tend to perform operations on large ranges of values rather than looking up specific values.
Incorrect:
Not C: A nonclustered columnstore index and a clustered columnstore index function the same. The difference is a nonclustered index is a secondary index created on a rowstore table, whereas a clustered columnstore index is the primary storage for the entire table.
The nonclustered index contains a copy of part or all of the rows and columns in the underlying table. The index is defined as one or more columns of the table, and has an optional condition that filters the rows.
A nonclustered columnstore index enables real-time operational analytics in which the OLTP workload uses the underlying clustered index, while analytics run concurrently on the columnstore index.
References: https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes- design-guidance
NEW QUESTION: 2
After presenting a working proof of concept for a new application that uses AWS API Gateway, a Developer must set up a team development environment for the project. Due to a tight timeline, the Developer wants to minimize time spent on infrastructure setup, and would like to reuse the code repository created for the proof of concept. Currently, all source code is stored in AWS CodeCommit. Company policy mandates having alpha, beta, and production stages with separate Jenkins servers to build code and run tests for every stage. The Development Manager must have the ability to block code propagation between admins at any time. The Security team wants to make sure that users will not be able to modify the environment without permission. How can this be accomplished?
A. Create API Gateway alpha, beta, and production stages. Create a CodeCommit trigger to deploy code to the different stages using an AWS Lambda function.
B. Create Jenkins servers for the alpha, beta, and production stages on Amazon EC2 instances. Create multiple CodeCommit triggers to deploy code to different stages using an AWS Lambda function.
C. Create API Gateway alpha, beta, and production stages. Create an AWS CodePipeline that pulls code from the CodeCommit repository. Create CodePipeline actions to deploy code to the API Gateway stages.
D. Create an AWS CodePipeline pipeline that pulls code from the CodeCommit repository. Create alpha, beta, and production stages with Jenkins servers on CodePipeline.
Answer: D
NEW QUESTION: 3
Scenario: A Citrix Administrator needs to add 10 new servers to an existing server farm. The new servers
are configured to serve the same applications and connections and are twice the capacity of the existing
servers. The administrator wants to ensure that they are being fully utilized. Currently in the environment,
the default load-balancing method is being used.
To ensure that only the 10 new servers are receiving twice the connections of the old servers without
changing the load balancing to the rest of the environment, the administrator needs to add a weight of
_________ to the services attached to the ________ servers. (Choose the correct option to complete the
sentence.)
A. 50; new
B. 50; old
C. 2; new
D. 2; old
Answer: D