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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 4 of 5

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Q31.
What is the purpose of the inner loop in the HYBRIDJOIN algorithm?

a.

To build the stream input in the hash table

b.

To probe the disk tuples in the hash table

c.

To read tuples from the stream buffer

d.

To reset the value of "w" to zero

Discuss
Answer: (b).To probe the disk tuples in the hash table Explanation:The inner loop in the HYBRIDJOIN algorithm is used to probe the disk tuples in the hash table.
Q32.
What action does the algorithm take when it finds a match between a disk tuple and a stream tuple in HYBRIDJOIN?

a.

It generates the join output and deletes the disk tuple.

b.

It loads the disk partition into memory.

c.

It resets the value of "w" to zero.

d.

It increases "w" with the number of matching tuples found.

Discuss
Answer: (a).It generates the join output and deletes the disk tuple. Explanation:When the algorithm finds a match between a disk tuple and a stream tuple in HYBRIDJOIN, it generates the join output and deletes all matched tuples from the hash table, along with the corresponding nodes from the queue.
Q33.
. What is the asymptotic runtime of HYBRIDJOIN compared to MESHJOIN?

a.

HYBRIDJOIN has a worse runtime than MESHJOIN.

b.

HYBRIDJOIN has the same runtime as MESHJOIN.

c.

HYBRIDJOIN has a better runtime than MESHJOIN.

d.

The runtime of HYBRIDJOIN and MESHJOIN cannot be compared.

Discuss
Answer: (c).HYBRIDJOIN has a better runtime than MESHJOIN. Explanation:The asymptotic runtime of HYBRIDJOIN is better than that of MESHJOIN, as stated in Theorem 1.
Q34.
What factor dominates the cost of MESHJOIN and HYBRIDJOIN?

a.

The number of accesses to the stream buffer

b.

The number of accesses to the disk buffer

c.

The number of accesses to the hash table

d.

The number of accesses to the queue

Discuss
Answer: (b).The number of accesses to the disk buffer Explanation:The cost of MESHJOIN and HYBRIDJOIN is dominated by the number of accesses to the disk buffer.
Q35.
What does the cost model in the context of HYBRIDJOIN aim to calculate?

a.

The size of the stream buffer

b.

The processing cost for w tuples

c.

The total memory used for the disk buffer

d.

The number of accesses to the hash table

Discuss
Answer: (b).The processing cost for w tuples Explanation:The cost model in the context of HYBRIDJOIN aims to calculate the processing cost for w tuples.
Q36.
What is the purpose of the "Cost to read one disk partition" component in the processing cost calculation for one loop iteration?

a.

To calculate the average stream input size "w"

b.

To measure the service rate ฮผ

c.

To estimate the cost of reading a disk partition into memory

d.

To determine the size of the disk buffer

Discuss
Answer: (c).To estimate the cost of reading a disk partition into memory Explanation:The "Cost to read one disk partition" component in the processing cost calculation for one loop iteration is used to estimate the cost of reading a disk partition into memory.
Q37.
How is the service rate ฮผ calculated in the context of HYBRIDJOIN?

a.

ฮผ = w / cloop

b.

ฮผ = w * cloop

c.

ฮผ = cloop / W

d.

ฮผ = 1 / cloop

Discuss
Answer: (a).ฮผ = w / cloop Explanation:The service rate ฮผ in the context of HYBRIDJOIN is calculated as ฮผ = w / cloop.
Q38.
In HYBRIDJOIN, what happens to the average stream input size (w) when the size of the master data (Rt) is increased exponentially?

a.

w remains constant

b.

w decreases

c.

w increases

d.

w fluctuates randomly

Discuss
Answer: (b).w decreases Explanation:When the size of the master data (Rt) is increased exponentially in HYBRIDJOIN, the average stream input size (w) decreases.
Q39.
How does the size of the hash table (hs) affect the average stream input size (w) in HYBRIDJOIN when other parameters are fixed?

a.

w remains constant

b.

w decreases

c.

w increases

d.

w fluctuates randomly

Discuss
Answer: (c).w increases Explanation:When the size of the hash table (hs) is increased while keeping other parameters fixed in HYBRIDJOIN, the average stream input size (w) increases.
Q40.
What impact does an increase in the disk buffer size (d) have on the average stream input size (w) in HYBRIDJOIN with fixed values for other parameters?

a.

w remains constant

b.

w decreases

c.

w increases

d.

w fluctuates randomly

Discuss
Answer: (c).w increases Explanation:Increasing the disk buffer size (d) in HYBRIDJOIN with fixed values for other parameters leads to an increase in the average stream input size (w).
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