Related Questions
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4
An ____ consisted of highly structured data managed by the line of business in a relational database.
A. Operational data source
B. Qualitative data source
D. None of the mentioned above
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4
Predictive analytics relies on capturing relationships between explanatory variables and the _____.
C. Prescriptive variables
D. All of the mentioned above
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4
Amongst which of the following is / are true with reference to predictive modeling,
A. A tool used in predictive analytics
B. A process that uses data mining and statistics to develop models
C. Examine current and historical datasets for underlying patterns
D. All of the mentioned above
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4
Variety describes one of the biggest challenges of ______.
D. None of the mentioned above
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4
Volume, Velocity and Variety are _____ to Big Data,
D. None of the mentioned above
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4
HQL is a query language that is used to construct the custom map-reduce framework in Hive, which is written in ______.
D. None of the mentioned above
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4
The ability to model prices on a variety of factors allows them to make ______ about production, storage, and new discoveries.
D. None of the mentioned above
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4
____ general-purpose model and runtime framework for distributed data analytics.
D. All of the mentioned above
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4
_____ are two techniques used in descriptive analytics to discover historical data.
A. Data ingestion and data mining
B. Data warehouse and data storage
C. Data aggregation and data mining
D. All of the mentioned above
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4
Hadoop is a framework that can be used in conjunction with a number of related products. Among the most common cohorts are ______.
A. MapReduce, Hive and HBase
C. Spark, Hive and ZooKeeper
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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.
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4
Amongst which of the following is not a descriptive statistic?
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4
In the layered architecture of Big Data Stack, Interfaces and feeds,
A. Internally managed data
B. Data feeds from external sources.
C. It provides access to each and every layer & components of big data stack
D. All of the mentioned above
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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.
D. All 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
D. All of the mentioned above
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4
Amongst which of the following is / are true with reference to Decision trees,
D. All of the mentioned above
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4
Operational Database with distributed systems and ___ based system can harness the true potential with big data.
D. None of the mentioned above
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4
The goal of most big data solutions is to provide insights into the data through _____.
C. Analysis and reporting
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 _____,
D. None of the mentioned above
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4
Amongst which of the following is / are the types of predictive analytics techniques,
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.
D. None of the mentioned above
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4
______ node serves as the Slave and is responsible for carrying out the Tasks that have been assigned to it by the JobTracker.
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4
MongoDB is a ____ database.
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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.
D. All of the mentioned above
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4
Reporting and visualization enables.
B. User friendly representation
D. None of the mentioned above
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4
____ is also known as Hosted Hypervisor.
D. None of the mentioned above
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4
HDFS stores data in a distributed manner, the data can be processed in parallel on a _____ of nodes.
D. None of the mentioned above
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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
D. None of the mentioned above
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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
Many big data solutions prepare data for analysis and then serve the processed data in a,
C. Semi-structured format
D. None of the mentioned above