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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

Correct Answer :

D. All of the mentioned above


Azure Synapse Analytics is a managed service for large-scale, cloud-based data warehousing that is available through Microsoft Azure. Hive, HBase, and Spark SQL are supported by HDInsight, and these databases can also be used to serve data for analysis purposes.

Related Questions

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The MapReduce framework is responsible for processing one or more pieces of data and producing the output results as ______.

A. Maptask

B. Task execution

C. Mapper

D. All of the mentioned above

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4

Amongst which of the following is / are the applications of Predictive Analytics,

A. Translating voice to text for mobile phone messaging

B. Investment portfolio development

C. Weather forecasts

D. All of the mentioned above

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4

Amongst which of the following is / are correct,

A. Hive is a relational database that supports SQL queries.

B. Pig is a relational database that supports SQL queries.

C. Both A and B

D. None of the mentioned above

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4

Amongst which of the following is not aligns as a characteristic of HDFS?

A. HDFS file system is well suited for storing data associated with applications that require low latency data access.

B. HDFS is well-suited for storing data connected to applications that require low-latency data access to be performed.

C. HDFS is not suited for instances in which multiple/simultaneous writes to the same file are required.

D. None of the mentioned above

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4

How many V's of Big Data?

A. 2

B. 3

C. 4

D. 5

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4

What is a Virtual Machine (VM)?

A. Virtual representation of a physical computer

B. Virtual representation of a logical computer

C. Virtual System Integration

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

_____ maps input key/value pairs to a set of intermediate key/value pairs.

A. Reducer

B. Mapper

C. File system

D. All of these

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4

_____ is a shell utility that can be used to run Hive queries in either interactive or batch mode, depending on the situation.

A. $HIVE_HOME/bin/hive

B. $HIVE/bin/

C. $HIVE_HOME/hive

D. All of the mentioned above

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4

Predictive analytics is a process harnesses ____, often massive, data sets into models.

A. Heterogeneous

B. Storage

C. Network

D. None of the mentioned above

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4

Analytics has begun to impact almost every industry including,

A. Healthcare,

B. Education and telecom

C. Telecom

D. All 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

Which of the following are Benefits of Big Data Processing?

A. Cost Reduction

B. Time Reductions

C. Smarter Business Decisions

D. All of the mentioned above

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4

____ general-purpose model and runtime framework for distributed data analytics.

A. Mapreduce

B. Spark

C. Hive

D. All of the mentioned above

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4

Many big data solutions prepare data for analysis and then serve the processed data in a,

A. Structured format

B. Unstructured format

C. Semi-structured format

D. None of the mentioned above

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4

A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.

A. Virtualization software

B. System software

C. Integrated approach

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

In computers, a ____ is a symbolic representation of facts or concepts from which information may be obtained with a reasonable degree of confidence.

A. Data

B. Knowledge

C. Program

D. Algorithm

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4

Data Visualization Layer,

A. To visualize the data

B. To access the data

C. To process the data

D. All of the mentioned above

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4

Data that does not conform to a data model or data schema is known as ______.

A. Structured data

B. Unstructured data

C. Semi-structured data

D. All of the mentioned above

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4

Amongst which of the following shows an example of unstructured data,

A. Students roll number, age

B. Videos

C. Audio files

D. Both B and C

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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

Amongst which of the following can be considered as the main source of unstructured data.

A. Twitter

B. Facebook

C. Webpages

D. All of the mentioned above

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4

Amongst which of the following is not a descriptive statistic?

A. t-test

B. mean

C. standard deviation

D. range

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4

Machine learning in predictive analytics uses to enable computers to learn without being explicitly programmed by building algorithms that can receive _____ and use statistics to predict an output.

A. Input data

B. Output data

C. Process data

D. All of the mentioned above

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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

Type-2 Hypervisor allows quick and easy access to a guest _____ alongside the host machine running.

A. Application software

B. System software

C. Operating System

D. None of the mentioned above

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4

Amongst which of the following is/are the Hive function Meta commands.

A. Show functions

B. Describe function

C. Both A and B

D. None of the mentioned above

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4

Database requirements for operational data includes ___.

A. Indexing and Cataloging, Replication

B. File Storage and Structure, Query Processing

C. Transactions Support

D. All of the mentioned above