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Exam 11: Big Data and Analytics

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Question 51

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Big Data includes:

A) large volumes of data with many different data types that are processed at very high speeds.
B) large volumes of data entry with a single data type processed at very high speeds.
C) large volumes of entity relationship diagrams (ERD) with many different data types that are processed at very high speeds.
D) large volumes of entity relationship diagrams (ERD) with a single data type processed at very high speeds.

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Question 52

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At a basic level, analytics refers to:

A) collecting data.
B) conducting a needs analysis.
C) analysis and interpretation of data.
D) normalizing data.

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Question 53

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Descriptive analytics answers the question: "What happened yesterday?"

Structured Query Language (SQL) is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful information.

Customers leave clues about their preferences when navigating a company's Web site.

OLAP, ROLAP, and TLAP are tools commonly used to load data into intermediate hypercube structures.

Horse, an important scripting language, helps reduce the complexity of MapReduce.

Transaction processing and management reporting tend to fit big data databases better than relational databases.

The goal of data mining related to analyzing data for unexpected relationships is:

When a data repository (including internal and external data) does NOT follow a predefined schema, this is called a:

The three 'v's commonly associated with big data include:

An organization using HDFS realizes that hardware failure is a(n) :

HDFS allows indexing which specifically allows applications real-time access to the data.

Neo4j is a wide-column NoSQL database management system developed by Oracle.

It is true that in an HDFS cluster the NameNode is the:

Describe conceptually how big data differs from traditional relational database management systems.

When online analytical processing (OLAP) studies last year's sales, this represents:

________ tools commonly load data into intermediate hypercube structures.

The oldest form of analytics is:

The schema on write and schema on read are considered synonymous approaches.