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4

Data warehouse modeling is the initial stage of building a data warehouse wherein the ___ is designed.

A. Schema

B. Table

C. Both A and B

D. None of the mentioned above

Correct Answer :

B. Table


Data warehouse modeling is the initial stage of building a data warehouse wherein the schema is designed. A well-designed schema enables clients to visualize the relationships between warehouse data, allows an effective data warehouse structure to come to fruition, decreases the costs of implementing the data warehouse, and improves efficiency.

Related Questions

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4

In Big Data environments, Velocity refers

A. Data can arrive at fast speed

B. Enormous datasets can accumulate within very short periods of time

C. Velocity of data translates into the amount of time it takes for the data to be processed

D. All of the mentioned above

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4

The data that can be processed, stored, and retrieved in a fixed format called _____,

A. Structured Data

B. Unstructured Data

C. Semi-structured Data

D. None of the mentioned above

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4

Amongst which of the following is /are most suitable with reference to the data collector layer,

A. Transportation of data from the ingestion layer to the rest of the data pipeline

B. Data storage

C. Data identification

D. None of the mentioned above

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4

The Hadoop framework is built in Java, which means that MapReduce applications do not need to be written in _____.

A. C#

B. C

C. Java

D. None of the mentioned above

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4

In order to interact with HDFS, a command line interface named _____ is provided.

A. HDFS Shell

B. DFS Shell

C. K Shell

D. FS Shell

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4

Amongst which of the following is/are not Big Data Technologies?

A. Apache Hadoop

B. Apache Spark

C. Apache Kafka

D. Apache Pytarch

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4

Amongst which of the following is / are the challenge of Big Data processing,

A. Goes beyond the massive volumes

B. Increasing velocities of data

C. Both A and B

D. None of the mentioned above

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4

The weight of a machine is a,

A. Discrete variable

B. Quantitative variable

C. Qualitative variable

D. Superlative variable

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4

HDFS stores data in a distributed manner, the data can be processed in parallel on a _____ of nodes.

A. Cluster

B. Data Node

C. Master Node

D. None of the mentioned above

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4

Amongst which of the following is/are true with reference to User-defined Functions of Hive.

A. function that fetches one or more columns from a row as arguments

B. It returns a single value

C. Both A and B

D. None of the mentioned above

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4

Azure Synapse Analytics provides a managed service for _______.

A. Large-scale

B. Cloud-based

C. Data warehousing

D. All of the mentioned above

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4

MongoDB support cross platform and is written in _____ language.

A. Python

B. C++

C. R

D. Java

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4

To process large data sets quickly, big data architectures use.

A. Distributed computing

B. Cluster computing

C. Parallel computing

D. All of the mentioned above

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4

Volume, Velocity and Variety are _____ to Big Data,

A. Intrinsic

B. Extrinsic

C. Both A and B

D. None of the mentioned above

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4

Custom extensions built in the ____ programming language are also supported by Hive.

A. Java

B. C#

C. C

D. C++

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4

Amongst which of the following is / are the correct workflow of predictive analytics,

A. Import data → Clean the data → Develop a predictive model → Integrate the model

B. Clean the data → Develop a predictive model → Import data → Integrate the model

C. Clean the data → Develop a predictive model → Import data → Integrate the model

D. None of the mentioned above

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4

The data could be presented through a low-latency _____ technology.

A. DBMS

B. NoSQL

C. Data store

D. None of the mentioned above

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4

Apache Hive is a data ______ infrastructure that is built on top of the Hadoop platform.

A. Warehouse

B. Map

C. Reduce

D. None of the mentioned above

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4

Amongst which of the following is / are the goodness of prescriptive analytics,

A. Exhausting valuable resources on housing data that does not inform business decisions

B. Spending time sifting through unutilized data sets

C. Missing out on unique revenue streams and insights

D. All of the mentioned above

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4

The _______ is the default partitioned in Hadoop, and it offers a method called getPartition that allows us to partition data.

A. HashPartitioner

B. Map function

C. Reduce function

D. All of the mentioned above

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4

Amongst which of the following is/are correct.

A. Default location of Hadoop configuration is in $HADOOP /conf/ HOME

B. If $HADOOP HOME is specified, Sqoop will utilise the default installation location

C. default location of Hadoop configuration is in $HADOOP HOME/conf/

D. Sqoop command-line tool serves as a wrapper for the bin/hadoop script that is included with Hadoop as a base.

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4

Amongst which of the following is / are true to run MongoDB?

A. High availability through built-in replication and failover

B. Management tooling for automation, monitoring, and backup

C. Fully elastic database as a service with built-in best practices

D. All of the mentioned above

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4

The goal of most big data solutions is to provide insights into the data through _____.

A. Hive

B. HBase

C. Analysis and reporting

D. All of the mentioned above

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4

Amongst which of the following is/are represents the Value of data in Big Data environment,

A. Worth in information

B. Useless data

C. Useless information

D. None of the mentioned above

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4

Apache Hive is data storage and ______ that stores and organizes data for study and querying.

A. Querying tool

B. Mapper

C. MapReduce

D. All of the mentioned above

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4

The architecture should designed in such a way so that it can handle ______.

A. Data ingestion

B. Data processing

C. Data analysis

D. All of the mentioned above

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4

Prescriptive analytics is a process that _____ and provides instant recommendations on how to optimize business practices.

A. Analyzes data

B. Data storage

C. Data ingestion

D. None of the mentioned above

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4

Variety describes one of the biggest challenges of ______.

A. Big data

B. Data science

C. Data integration

D. None of the mentioned above

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4

Custom Application of Big data for business to meet ______.

A. Business needs

B. Facilitates cloud computing and

C. Hypervisor

D. Virtualization

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4

In the given Virtual Architecture, name the missing layer,

A. Virtualization layer

B. Storage layer

C. Abstract layer

D. None of the mentioned above