Amongst which of the following is / are the examples of descriptive analytics,
Traffic and Engagement Reports
Financial Statement Analysis
Demand Trends and Aggregated Survey Results
All of the mentioned above
Correct Answer :
D. All of the mentioned above
Examples of descriptive analytics include traffic and engagement reports, financial statement analysis and demand trends, and aggregated survey results. Descriptive analytics can be used to track progress toward achieving objectives. Reporting on progress toward key performance indicators can assist our team in determining whether or not their efforts are on track and whether or not adjustments are required.
Related Questions
Amongst which of the following represents the Use of Hadoop,
Robust and Scalable
Affordable and Cost Effective
Adaptive and Flexible
All of the mentioned above
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.
Input data
Output data
Process data
All of the mentioned above
Amongst which of the following is /are most suitable with reference to the data collector layer,
Transportation of data from the ingestion layer to the rest of the data pipeline
Data storage
Data identification
None of the mentioned above
A hypervisor is a form of ____ used in Cloud hosting to divide and allocate the resources on various pieces of hardware.
Virtualization software
System software
Integrated approach
None of the mentioned above
Which of the following are Benefits of Big Data Processing?
Cost Reduction
Time Reductions
Smarter Business Decisions
All of the mentioned above
Azure Synapse Analytics provides a managed service for _______.
Large-scale
Cloud-based
Data warehousing
All of the mentioned above
HDFS stores data in a distributed manner, the data can be processed in parallel on a _____ of nodes.
Cluster
Data Node
Master Node
None of the mentioned above
In Big Data environments, Variety of data includes
Includes multiple formats and types of data
Includes structured data in the form of financial transactions,
Includes semi-structured data in the form of emails and unstructured data in the form of images
All of the mentioned above
Amongst which of the following is / are the examples of descriptive analytics,
Traffic and Engagement Reports
Financial Statement Analysis
Demand Trends and Aggregated Survey Results
All of the mentioned above
Amongst which of the following is / are the goodness of prescriptive analytics,
Exhausting valuable resources on housing data that does not inform business decisions
Spending time sifting through unutilized data sets
Missing out on unique revenue streams and insights
All of the mentioned above
To process large data sets quickly, big data architectures use.
Distributed computing
Cluster computing
Parallel computing
All of the mentioned above
_____ is a platform for developing data flows for the extraction, transformation, and loading (ETL) of huge datasets, as well as for data analysis.
Spark
HBase
Hive
Pig
The data which have already been collected by someone is called _____ data.
Primary data
Secondary data
Quantitative data
Qualitative data
_____ is the supporting physical infrastructure is fundamental to the operation and scalability of big data architecture.
Redundant physical infrastructure
Integrated System
Integrated Database
All of the mentioned above
Predictive analytics uses statistics and ____ to determine future performance.
Algorithmic techniques
Modeling techniques
System development and design techniques
None of the mentioned above
Apache Hive is data storage and ______ that stores and organizes data for study and querying.
Querying tool
Mapper
MapReduce
All of the mentioned above
In order to interact with HDFS, a command line interface named _____ is provided.
HDFS Shell
DFS Shell
K Shell
FS Shell
Volume, Velocity and Variety are _____ to Big Data,
Intrinsic
Extrinsic
Both A and B
None of the mentioned above
____ general-purpose model and runtime framework for distributed data analytics.
Mapreduce
Spark
Hive
All of the mentioned above
Amongst which of the following is/are not Big Data Technologies?
Apache Hadoop
Apache Spark
Apache Kafka
Apache Pytarch
The data could be presented through a low-latency _____ technology.
DBMS
NoSQL
Data store
None of the mentioned above
Operational Database with distributed systems and ___ based system can harness the true potential with big data.
SQL
NoSQL
PL / SQL
None of the mentioned above
Prescriptive analytics is a process that _____ and provides instant recommendations on how to optimize business practices.
Analyzes data
Data storage
Data ingestion
None of the mentioned above
____ is also known as Hosted Hypervisor.
TYPE-1 Hypervisor
TYPE- 2 Hypervisor
Both A and B
None of the mentioned above
Scalability, elasticity, resource pooling, self-service, low cost and fault tolerance are the features of,
Cloud computing
Power BI
System development
None of the mentioned above
Hypervisor is a practical approach of getting things virtualized _______.
Quickly and efficiently
Systematic approach
Both A and B
All of the mentioned above
In Big Data environment, Veracity of data refers -
Quality or fidelity of data
Large size of the data that cannot be process
Small size of the data that can easily process
All of the mentioned above
Amongst which of the following is / are the applications of Predictive Analytics,
Translating voice to text for mobile phone messaging
Investment portfolio development
Weather forecasts
All of the mentioned above
The weight of a machine is a,
Discrete variable
Quantitative variable
Qualitative variable
Superlative variable
The database which is used to manage and store data in real time is called ___.
Traditional database
Operational database
Database Management System
None of the mentioned above