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Scalability and Data Partitioning in Cloud Applications

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Scalability and Data Partitioning in Cloud Applications

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Questions and Answers

What is the primary reason for partitioning data in cloud applications?

To enhance data security by encrypting each partition separately

To reduce storage costs by compressing data into smaller partitions

To improve performance and scalability by distributing data across multiple nodes (correct)

To simplify data backups by creating smaller, independent data sets

How are partitions defined in data partitioning?

Each partition contains a complete copy of the entire data set

Each partition contains a random subset of the data

Each partition contains overlapping subsets of the data

Each piece of data belongs to exactly one partition (correct)

Which operation is often combined with partitioning to enhance data availability?

Indexing

Normalization

Replication (correct)

Compression

What is the advantage of parallelizing queries or I/O operations across multiple nodes in a partitioned system?

Increased throughput and performance Signup and view all the answers

In the context of partitioning, what is the purpose of distributing partitions across different nodes in a cluster?

To support performance and throughput expectations Signup and view all the answers

Which of the following is an example of how partitioning can improve performance?

Partitioning a large database into smaller partitions and storing each partition on a separate disk Signup and view all the answers

What is the primary benefit of partitioning data in cloud applications, according to the text?

To enable scaling of throughput by adding more nodes Signup and view all the answers

What is the purpose of distributing partitions across different nodes in a cluster, as described in the text?

To enable parallel execution of queries and I/O operations across the partitions Signup and view all the answers

What is the relationship between partitioning and replication, as described in the text?

Partitioning is usually combined with replication to enhance data availability Signup and view all the answers

How are partitions defined in data partitioning, according to the text?

Partitions are defined such that each piece of data belongs to exactly one partition Signup and view all the answers

Which of the following is an example of how partitioning can improve performance, as described in the text?

Partitioning a large piece of data to be written to disk into multiple partitions and distributing these partitions to multiple disks Signup and view all the answers

What is the primary advantage of parallelizing queries or I/O operations across multiple nodes in a partitioned system, as described in the text?

It enables the system to handle larger and more complex workloads without bottlenecks Signup and view all the answers