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Posted on May 5, 2023


WHAT IS A BENEFIT OF ANALYZING DATA IN MOTION RATHER THAN A STATIC DATA SET?

 * Critical decisions can be made more quickly.
 * The data is more accurate.
 * All historical data is used to arrive at a decision.
 * The data is more structured.

 * Answers Explanation & Hints:
   
   
   
   A benefit of analyzing data in motion rather than a static data set is that
   critical decisions can be made more quickly.
   
   Analyzing data in motion refers to analyzing data as it is generated or
   received, rather than analyzing a static data set that has already been
   collected. Analyzing data in motion allows for real-time insights and
   decision-making, which is important in many industries where time is of the
   essence, such as finance, healthcare, and manufacturing.
   
   In contrast, analyzing a static data set requires the data to be collected,
   processed, and then analyzed, which can take time and delay decision-making.
   Analyzing data in motion allows for quicker response times and more immediate
   action, which can be critical in situations where decisions need to be made
   quickly.
   
   While analyzing data in motion can provide real-time insights, it is
   important to note that it may not always be more accurate than analyzing a
   static data set. In fact, analyzing data in motion can sometimes be less
   accurate due to issues such as data quality, data integrity, and data
   latency. The accuracy of the data depends on the quality and reliability of
   the data sources, as well as the algorithms used to analyze the data.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


1.4.2 MODULE 1 QUIZ – DATA ANALYTIC PROJECTS EXAM ANSWERS FULL 100% | DATA
ANALYTICS ESSENTIALS 2023

 


WHAT IS AN EXAMPLE OF DESCRIPTIVE DATA ANALYSIS?

Posted on May 5, 2023


WHAT IS AN EXAMPLE OF DESCRIPTIVE DATA ANALYSIS?

 * predicted oil price increases
 * control of highway traffic signals
 * an hourly traffic report for a highway
 * a weather forecast description

 * Answers Explanation & Hints:
   
   
   
   An example of descriptive data analysis is an hourly traffic report for a
   highway.
   
   Descriptive analytics refers to the analysis of historical data to gain
   insights and understand what has happened in the past. In this case, an
   hourly traffic report for a highway is an example of descriptive data
   analysis because it provides information about the current state of the
   system (i.e. the traffic on the highway) based on historical data. The report
   describes the traffic conditions and provides information about what has
   happened in the past hour.
   
   Predicted oil price increases is an example of predictive analytics, which
   involves using historical data and statistical models to make predictions
   about the future. Control of highway traffic signals and weather forecast
   description are examples of prescriptive analytics, which provides
   recommendations or actions to take based on the analysis of historical data.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


1.4.2 MODULE 1 QUIZ – DATA ANALYTIC PROJECTS EXAM ANSWERS FULL 100% | DATA
ANALYTICS ESSENTIALS 2023

 


A LARGE ONLINE ORDERING COMPANY COLLECTS THE SALES HISTORY OF ITS CUSTOMERS.
USING THIS HISTORICAL DATA, THE ONLINE COMPANY SENDS CUSTOMIZED SALES
ADVERTISEMENTS TO A SPECIFIC GROUP OF CUSTOMERS. WHICH DATA ANALYTICS METHOD IS
BEING USED?

Posted on May 5, 2023


A LARGE ONLINE ORDERING COMPANY COLLECTS THE SALES HISTORY OF ITS CUSTOMERS.
USING THIS HISTORICAL DATA, THE ONLINE COMPANY SENDS CUSTOMIZED SALES
ADVERTISEMENTS TO A SPECIFIC GROUP OF CUSTOMERS. WHICH DATA ANALYTICS METHOD IS
BEING USED?

 * indicative
 * predictive
 * descriptive
 * prescriptive

 * Answers Explanation & Hints:
   
   
   
   Prescriptive analytics involves the use of advanced analytical techniques and
   algorithms to make recommendations and predictions about what actions should
   be taken in the future to optimize business outcomes. It relies on a
   combination of historical data, current data, and external data sources to
   provide guidance on what actions to take, and it aims to provide the best
   possible outcome by considering multiple scenarios and potential decision
   pathways.
   
   In the case of the online ordering company, the use of historical sales data
   to send customized sales advertisements to a specific group of customers is
   an example of prescriptive analytics. The company is using this data to
   prescribe a course of action (sending targeted sales ads) based on an
   analysis of historical data to improve the outcome (sales revenue) of its
   business. By analyzing the data and identifying patterns and trends, the
   company can make recommendations on what actions to take to optimize the
   outcome.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


1.4.2 MODULE 1 QUIZ – DATA ANALYTIC PROJECTS EXAM ANSWERS FULL 100% | DATA
ANALYTICS ESSENTIALS 2023

 


A COLLEGE USES A LEARNING MANAGEMENT SYSTEM (LMS) TO HOST LECTURE MATERIALS AND
PROVIDE ACCESS TO ASSIGNMENTS AND ASSESSMENTS. A TEACHER USES THE LMS TO CHECK
ACTIVITIES COMPLETED BY STUDENTS IN A PARTICULAR COURSE. WHICH DATA ANALYTICS
METHOD IS BEING USED?

Posted on May 5, 2023


A COLLEGE USES A LEARNING MANAGEMENT SYSTEM (LMS) TO HOST LECTURE MATERIALS AND
PROVIDE ACCESS TO ASSIGNMENTS AND ASSESSMENTS. A TEACHER USES THE LMS TO CHECK
ACTIVITIES COMPLETED BY STUDENTS IN A PARTICULAR COURSE. WHICH DATA ANALYTICS
METHOD IS BEING USED?

 * indicative
 * predictive
 * descriptive
 * prescriptive
 * proactive

 * Answers Explanation & Hints:
   
   
   
   The data analytics method being used in this scenario is descriptive.
   
   Descriptive analytics refers to the analysis of historical data to gain
   insights and understand what has happened in the past. In this case, the
   teacher is using the LMS to check the activities completed by students in a
   particular course, which is an example of looking at historical data. The
   teacher is not trying to make predictions or take any action based on this
   data, but rather simply trying to understand what has happened in the past.
   
   Indicative analytics is a type of analytics that provides information about
   the current state of a system, while predictive analytics uses historical
   data to make predictions about the future. Prescriptive analytics provides
   recommendations or actions to take based on the analysis of historical data.
   Proactive analytics is a term that is not commonly used in data analytics,
   but it can refer to taking preemptive actions to prevent future problems
   based on analysis of historical data.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


1.4.2 MODULE 1 QUIZ – DATA ANALYTIC PROJECTS EXAM ANSWERS FULL 100% | DATA
ANALYTICS ESSENTIALS 2023

 


A COLLEGE HAS DEPLOYED NEXT-GENERATION ANALYTICS. WHICH QUESTION WOULD MOST
LIKELY BE ANSWERED BY NEXT GENERATION ANALYTICS THAT COULD NOT BE ANSWERED BY
TRADITIONAL ANALYSIS TOOLS?

Posted on May 5, 2023


A COLLEGE HAS DEPLOYED NEXT-GENERATION ANALYTICS. WHICH QUESTION WOULD MOST
LIKELY BE ANSWERED BY NEXT GENERATION ANALYTICS THAT COULD NOT BE ANSWERED BY
TRADITIONAL ANALYSIS TOOLS?

 * Which class has the most sections available?
 * What are the 10 most expensive textbooks required in any class?
 * Which 100 classes fill the fastest once open enrollment is available for the
   general population?
 * Which teacher had the highest number of students enrolled in classes during
   the last year?
 * Which class sections do students consider the most in the online environment
   without actually enrolling?
   
   
   Answers Explanation & Hints:
   
   
   
   The question that would most likely be answered by next generation analytics
   that could not be answered by traditional analysis tools is “Which class
   sections do students consider the most in the online environment without
   actually enrolling?”
   
   Next-generation analytics refers to advanced techniques for data analysis
   that go beyond traditional methods. In this case, it implies the use of
   sophisticated algorithms and machine learning models to extract insights from
   complex data sets.
   
   The question about which class sections students consider the most in the
   online environment without actually enrolling is difficult to answer using
   traditional analysis tools because it requires analyzing unstructured data
   such as student reviews, comments, and feedback on social media or other
   online platforms.
   
   Next-generation analytics can process this unstructured data and identify
   patterns and trends that traditional analysis tools cannot. This type of
   analysis can help colleges improve their online course offerings, identify
   areas for improvement, and ultimately enhance the learning experience for
   their students.
   
   The other questions listed can be answered using traditional analysis tools
   such as data querying, statistical analysis, and data visualization.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


1.4.2 MODULE 1 QUIZ – DATA ANALYTIC PROJECTS EXAM ANSWERS FULL 100% | DATA
ANALYTICS ESSENTIALS 2023

 


WHAT IS THE CORRECT ORDER OF THE STAGES IN THE DATA PIPELINE?

Posted on May 5, 2023


WHAT IS THE CORRECT ORDER OF THE STAGES IN THE DATA PIPELINE?

 * Ingestion, Transformation, Analysis, Storage
 * Ingestion, Analysis, Transformation, Storage
 * Ingestion, Storage, Transformation, Analysis
 * Ingestion, Transformation, Storage, Analysis
   
   
   Answers Explanation & Hints:
   
   
   
   The correct order of the stages in the data pipeline is: Ingestion,
   Transformation, Storage, Analysis.
   
    1. Ingestion: This is the stage where data is collected from various sources
       and brought into the data pipeline. This can involve data streaming or
       batch processing techniques.
    2. Transformation: Once data has been collected, it needs to be transformed
       into a format that can be processed and analyzed. This can include
       cleaning, normalization, and structuring the data.
    3. Storage: After transformation, data needs to be stored in a way that
       makes it accessible for analysis. This can involve a variety of storage
       options such as data warehouses, data lakes, or cloud storage.
    4. Analysis: The final stage of the data pipeline involves the use of tools
       and techniques to analyze the data and extract insights from it. This can
       include visualization tools, machine learning algorithms, or statistical
       analysis.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


2.3.3 MODULE 2 QUIZ – DATA COLLECTION AND GATHERING EXAM ANSWERS 100% 2023

 


WHAT BIG DATA TERM INCLUDES REDUCING THE AMOUNT OF DATA CLEANING THAT IS
REQUIRED?

Posted on May 5, 2023


WHAT BIG DATA TERM INCLUDES REDUCING THE AMOUNT OF DATA CLEANING THAT IS
REQUIRED?

 * Volume
 * Variety
 * Velocity
 * Veracity
   
   
   Answers Explanation & Hints:
   
   
   
   The big data term that includes reducing the amount of data cleaning that is
   required is veracity. Veracity refers to the quality or trustworthiness of
   the data, and it encompasses data accuracy, consistency, completeness, and
   reliability. By ensuring data veracity, it is possible to reduce the amount
   of data cleaning and preparation required before it can be used for analysis.
   This includes identifying and addressing issues with data quality, such as
   missing values, inconsistencies, errors, and duplication. By improving the
   veracity of data, it becomes more reliable and valuable for decision-making
   purposes.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


2.3.3 MODULE 2 QUIZ – DATA COLLECTION AND GATHERING EXAM ANSWERS 100% 2023

 


THE FOUR V’S OF BIG DATA ARE VOLUME, VELOCITY, VARIETY, AND VERACITY. WHAT IS
MEANT BY VARIETY?

Posted on May 5, 2023


THE FOUR V’S OF BIG DATA ARE VOLUME, VELOCITY, VARIETY, AND VERACITY. WHAT IS
MEANT BY VARIETY?

 * The volume of data in motion.
 * The amount of data cleaning that is required.
 * The rate at which data is generated.
 * The data type that is not ready for processing and analysis.
   
   
   Answers Explanation & Hints:
   
   
   
   The variety in the four V’s of Big Data refers to the different types and
   sources of data that are available. This includes both structured and
   unstructured data from a variety of sources such as social media, sensors,
   web logs, and more. With the increasing availability of new data sources and
   formats, managing and analyzing such a variety of data can be challenging.
   The variety of data can affect the way it is stored, processed, and analyzed.
   This requires specialized tools and techniques to handle different types of
   data in order to extract meaningful insights and value from it.


FOR MORE QUESTIONS & ANSWERS CLICK THE LINK BELOW:


2.3.3 MODULE 2 QUIZ – DATA COLLECTION AND GATHERING EXAM ANSWERS 100% 2023

 


MATCH THE NETWORK SECURITY TESTING TOOL WITH THE CORRECT FUNCTION. (NOT ALL
OPTIONS ARE USED.)

Posted on April 30, 2021
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MATCH THE NETWORK SECURITY TESTING TOOL WITH THE CORRECT FUNCTION. (NOT ALL
OPTIONS ARE USED.)

Network Security (Version 1) – Network Security 1.0 Practice Final Answers 006

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WHAT THREE TASKS CAN A NETWORK ADMINISTRATOR ACCOMPLISH WITH THE NMAP AND ZENMAP
SECURITY TESTING TOOLS? (CHOOSE THREE.)

Posted on April 30, 2021
 * Recommend

   Network Security 1.0    Final Exam & Lab PT Skills Practice Final Answers
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WHAT THREE TASKS CAN A NETWORK ADMINISTRATOR ACCOMPLISH WITH THE NMAP AND ZENMAP
SECURITY TESTING TOOLS? (CHOOSE THREE.)

 * operating system fingerprinting
 * assessment of Layer 3 protocol support on hosts
 * open UDP and TCP port detection
 * security event analysis and reporting
 * password recovery
 * development of IDS signatures
   
   
   Answers Explanation & Hints:
   
   
   
   Nmap is a low-level network scanner that is available to the public and that
   has the ability to perform port scanning, to identify open TCP and UDP ports,
   and which can also perform system identification. It can also be used to
   identify Layer 3 protocols that are running on a system. Zenmap is the GUI
   version of Nmap.

 * Recommend

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RECENT POSTS

 * (no title)
 * What is an example of descriptive data analysis?
 * A large online ordering company collects the sales history of its customers.
   Using this historical data, the online company sends customized sales
   advertisements to a specific group of customers. Which data analytics method
   is being used?
 * A college uses a learning management system (LMS) to host lecture materials
   and provide access to assignments and assessments. A teacher uses the LMS to
   check activities completed by students in a particular course. Which data
   analytics method is being used?
 * A college has deployed next-generation analytics. Which question would most
   likely be answered by next generation analytics that could not be answered by
   traditional analysis tools?


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