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Welcome to the Management of Big Semantic Data MCQs Page

Dive deep into the fascinating world of Management of Big Semantic Data with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Management of Big Semantic Data, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Management of Big Semantic 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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Management of Big Semantic Data MCQs | Page 13 of 15

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Q121.
What does HDT-FoQ stand for?

a.

HDT's Frequently Operated Queries

b.

High-Density Triples - Focused Querying

c.

HDT Focused on Querying

d.

HDT's Fast Operation Queries

Discuss
Answer: (c).HDT Focused on Querying Explanation:HDT-FoQ stands for HDT Focused on Querying.
Q122.
In HDT-FoQ, what is the idea behind the Dictionary component?

a.

The dictionary is not needed in HDT-FoQ.

b.

The dictionary is loaded into memory to resolve basic operations.

c.

The dictionary is encoded in a complex manner to save space.

d.

The dictionary is used for encoding triple patterns.

Discuss
Answer: (b).The dictionary is loaded into memory to resolve basic operations. Explanation:In HDT-FoQ, the Dictionary component is loaded into memory to resolve basic operations, and it follows the idea of "the data are the index."
Q123.
How are sequences Sp and So from the BitmapTriples encoding loaded into memory in HDT-FoQ?

a.

They are loaded as separate dictionary components.

b.

They are not loaded into memory in HDT-FoQ.

c.

They are loaded into integer arrays.

d.

They are loaded as bit sequences.

Discuss
Answer: (c).They are loaded into integer arrays. Explanation:In HDT-FoQ, sequences Sp and So from the BitmapTriples encoding are loaded into memory as integer arrays.
Q124.
In HDT-FoQ, how is the predicate list located for a given triple pattern?

a.

By performing a binary search in Sp

b.

By retrieving it directly from disk

c.

By searching the dictionary component

d.

By using a separate structure for predicate lists

Discuss
Answer: (a).By performing a binary search in Sp Explanation:In HDT-FoQ, the predicate list is located for a given triple pattern by performing a binary search in Sp.
Q125.
What is the final step in HDT-FoQ to determine the existence of a triple in the data set?

a.

Retrieving the corresponding object list

b.

Locating the subject in the dictionary

c.

Checking the predicate in the predicate list

d.

Performing a binary search in Bo

Discuss
Answer: (d).Performing a binary search in Bo Explanation:The final step in HDT-FoQ to determine the existence of a triple in the data set is performing a binary search in Bo.
Q126.
Why is accessing data by predicate considered challenging in HDT-FoQ?

a.

The elements of Sp are sorted by predicate.

b.

Predicate-based retrieval is not supported in HDT-FoQ.

c.

Accessing data by predicate requires a full scan of Sp.

d.

All data retrieval in HDT-FoQ is equally efficient.

Discuss
Answer: (c).Accessing data by predicate requires a full scan of Sp. Explanation:Accessing data by predicate in HDT-FoQ is considered challenging because the elements of Sp are sorted by subject, and locating all predicate occurrences demands a full scan of this sequence.
Q127.
How is efficient access by predicate achieved in HDT-FoQ?

a.

By using a separate dictionary for predicates

b.

By loading Sp as a wavelet tree

c.

By implementing a full scan of Sp

d.

By using a separate data structure for each predicate

Discuss
Answer: (b).By loading Sp as a wavelet tree Explanation:In HDT-FoQ, efficient access by predicate is achieved by loading Sp (the predicate sequence) as a wavelet tree.
Q128.
What is the advantage of using a wavelet tree for predicate access in HDT-FoQ?

a.

It provides instant access to all predicates.

b.

It requires less space than the original Sp.

c.

It enables efficient predicate locating in logarithmic time.

d.

It supports a large number of different predicates.

Discuss
Answer: (c).It enables efficient predicate locating in logarithmic time. Explanation:The advantage of using a wavelet tree for predicate access in HDT-FoQ is that it enables efficient predicate locating in logarithmic time.
Q129.
How does HDT-FoQ handle access by predicate efficiently?

a.

It performs a full scan of Sp for each predicate.

b.

It uses a separate data structure for each predicate.

c.

It employs a wavelet tree for predicate access.

d.

It only allows access by subject, not by predicate.

Discuss
Answer: (c).It employs a wavelet tree for predicate access. Explanation:HDT-FoQ handles access by predicate efficiently by employing a wavelet tree for predicate access.
Q130.
In HDT-FoQ, what is the practical benefit of using a wavelet tree for predicate access?

a.

It significantly reduces the number of predicates in the data set.

b.

It enables instant access to predicate occurrences.

c.

It allows for efficient predicate locating with a small number of predicates.

d.

It eliminates the need for accessing predicates altogether.

Discuss
Answer: (c).It allows for efficient predicate locating with a small number of predicates. Explanation:The practical benefit of using a wavelet tree for predicate access in HDT-FoQ is that it allows for efficient predicate locating, especially when dealing with a small number of predicates in the data set.
Page 13 of 15

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