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Dive deep into the fascinating world of Efficient Processing of Stream Data over Persistent Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Efficient Processing of Stream Data over Persistent Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Efficient Processing of Stream Data over Persistent Data, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Efficient Processing of Stream Data over Persistent Data MCQs | Page 3 of 5

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Q21.
What is the main advantage of the MESHJOIN algorithm in terms of stream processing?

a.

It efficiently handles bursty input streams.

b.

It reduces the waiting time for stream tuples.

c.

It accesses disk pages sequentially.

d.

It reduces the processing time for stream tuples.

Discuss
Answer: (d).It reduces the processing time for stream tuples. Explanation:The main advantage of the MESHJOIN algorithm is that it reduces the processing time for stream tuples by efficiently joining disk pages with a large number of stream tuples.
Q22.
What issue does MESHJOIN face with regard to the access rate of disk pages?

a.

It reads unused pages with higher frequency.

b.

It cannot access disk pages sequentially.

c.

It performs disk invocations too frequently.

d.

It ignores the rate of page use in the disk-based relation.

Discuss
Answer: (a).It reads unused pages with higher frequency. Explanation:MESHJOIN reads unused or less used pages of the disk-based relation with equal frequency, increasing the processing time for stream tuples.
Q23.
How does the MESHJOIN algorithm handle intermittent or low arrival rate input streams?

a.

It uses a disk buffer to store input tuples.

b.

It decreases the processing time for stream tuples.

c.

It waits for disk invocations to process stream tuples.

d.

It efficiently copes with bursty stream data.

Discuss
Answer: (c).It waits for disk invocations to process stream tuples. Explanation:In the case of intermittent or low arrival rate input streams, the MESHJOIN algorithm requires the tuples in the queue to wait longer due to disk invocation delays, negatively affecting performance.
Q24.
What is the main disadvantage of the index nested loop join (INLJ) approach when joining stream S with disk-based relation R?

a.

It randomly accesses R for each tuple of S.

b.

It efficiently handles fast arrival streams of updates.

c.

It reduces the disk I/O cost.

d.

It decreases the waiting time for stream tuples.

Discuss
Answer: (a).It randomly accesses R for each tuple of S. Explanation:The main disadvantage of the index nested loop join (INLJ) approach is that it randomly accesses R for each tuple of S, making the disk I/O cost dominant and affecting its ability to cope with fast arrival streams of updates.
Q25.
What is the key component used in the HYBRIDJOIN algorithm to store the values for join attributes?

a.

Disk buffer

b.

Hash table

c.

Queue

d.

Stream buffer

Discuss
Answer: (c).Queue Explanation:The key component used in the HYBRIDJOIN algorithm to store the values for join attributes is the queue.
Q26.
What extra feature does the HYBRIDJOIN queue implement compared to the queue in MESHJOIN?

a.

Sequential deletion

b.

Random deletion

c.

Faster insertion

d.

Linked list storage

Discuss
Answer: (b).Random deletion Explanation:The HYBRIDJOIN queue implements the extra feature of random deletion compared to the queue in MESHJOIN.
Q27.
How does the hash table in HYBRIDJOIN help in matching disk pages with stream tuples?

a.

It stores only disk pages.

b.

It generates stream tuples.

c.

It matches disk pages with all matching tuples in the queue.

d.

It loads disk pages into memory.

Discuss
Answer: (c).It matches disk pages with all matching tuples in the queue. Explanation:The hash table in HYBRIDJOIN stores stream tuples and the addresses of the nodes in the queue corresponding to the tuples, allowing it to match disk pages with all matching tuples in the queue.
Q28.
What is the role of the stream buffer in HYBRIDJOIN?

a.

To load disk pages into memory

b.

To hold the fast stream when necessary

c.

To store disk-based relation R

d.

To generate stream tuples

Discuss
Answer: (b).To hold the fast stream when necessary Explanation:The role of the stream buffer in HYBRIDJOIN is to hold the fast stream when necessary.
Q29.
How does HYBRIDJOIN handle disk invocations compared to MESHJOIN?

a.

HYBRIDJOIN makes each disk invocation dependent on the stream input.

b.

HYBRIDJOIN makes each disk invocation independent of the stream input.

c.

HYBRIDJOIN uses sequential disk invocations.

d.

HYBRIDJOIN eliminates the need for disk invocations.

Discuss
Answer: (b).HYBRIDJOIN makes each disk invocation independent of the stream input. Explanation:HYBRIDJOIN makes each disk invocation independent of the stream input, unlike MESHJOIN which binds every disk input to the stream input.
Q30.
What is the key parameter used to initialize the value of "w" in the HYBRIDJOIN algorithm?

a.

The total number of slots in the hash table

b.

The size of the stream buffer

c.

The number of memory partitions

d.

The size of the disk buffer

Discuss
Answer: (a).The total number of slots in the hash table Explanation:The key parameter used to initialize the value of "w" in the HYBRIDJOIN algorithm is the total number of slots in the hash table, denoted as "hS."
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