CompTIA DA0-001 Online Practice Questions and Exam Preparation

CompTIA DA0-001 Online Questions & Answers

• Question 91:

  A data analyst was asked to create a chart that shows the relationship between study hours and exam scores for each student using the data sets in the table below:

  

  Which of the following charts would BEST represent the relationship between the variables?

  A. A histogram
  B. A scatter plot
  C. A heat map
  D. A bar chart
  B. A scatter plot

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  Explanation

  This is because a scatter plot is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as study hours and exam scores for each student in this case. A scatter plot can be used to display and analyze the correlation, trend, or pattern among the variables, as well as identify any outliers or clusters in the data. For example, a scatter plot can show if there is a positive, negative, or no correlation between study hours and exam scores, as well as show if there are any students who have unusually high or low exam scores compared to their study hours. The other charts are not the best charts to represent the relationship between the variables. Here is why:

  A histogram is a type of chart that shows the frequency or the count of values in a single variable for different intervals or bins, such as exam scores for different ranges in this case. A histogram can be used to display and analyze the distribution, shape, or spread of the variable, as well as identify any gaps, peaks, or skewness in the data. For example, a histogram can show if most students have high, low, or average exam scores, as well as show if there are any intervals that have no students at all. A heat map is a type of chart that shows the intensity or the magnitude of values in two variables for different categories or groups, such as exam scores and study hours for different student names in this case. A heat map can be used to display and analyze the variation, contrast, or comparison among the categories or groups, as well as identify any hot spots, cold spots, or gradients in the data. For example, a heat map can show which students have higher or lower exam scores and study hours than others, as well as show if there is a color pattern that indicates a relationship between exam scores and study hours. A bar chart is a type of chart that shows the value or the amount of a single variable for different categories or groups, such as exam scores for different student names in this case. A bar chart can be used to display and analyze the comparison, ranking, or proportion among the categories or groups, as well as identify any differences, similarities, or outliers in the data. For example, a bar chart can show which students have higher or lower exam scores than others, as well as show if there are any students who have exceptionally high or low exam scores.

• Question 92:

  An analyst has been tracking company intranet usage and has been asked to create a chat to show the most-used/most-clicked portions of a homepage that contains more than 30 links.

  Which of the following visualizations would BEST illustrate this information?

  A. Scatter plot
  B. Heat map
  C. Pie chart
  D. Infographic
  B. Heat map

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  Explanation

  This is because a heat map is a visualization that uses colors to represent different values or intensities of a variable. A heat map can be used to show the most- used/most-clicked portions of a homepage that contains more than 30 links by assigning different colors to each link based on how frequently they are clicked by the users. For example, a link that is clicked very often can be colored red, while a link that is clicked rarely can be colored blue. A heat map can help the analyst to identify which links are more popular or important than others on the homepage. The other visualizations are not as effective as a heat map for this purpose. Here is why:

  A scatter plot is a visualization that uses dots or points to represent the relationship between two variables. A scatter plot cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a clear way of mapping each link to a point on the graph. A pie chart is a visualization that uses slices or sectors to represent the proportion of each category in a whole. A pie chart cannot show the most-used/most-clicked portions of a homepage that contains more than 30 links because it does not have enough space to display all the categories clearly and accurately. An infographic is a visualization that uses images, icons, charts, and text to convey information or tell a story. An infographic cannot show the most-used/most-clicked portions of a homepage that contain more than 30 links because it does not have a consistent or standardized way of representing each link and its click frequency.

• Question 93:

  Which of the following is an object associated with a table that sorts and stores table row data in a key-value pair?

  A. Foreign key
  B. Function
  C. Stored procedure
  D. Clustered index
  D. Clustered index

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  Explanation

• Question 94:

  A data analyst needs to create a dashboard using the company's yearly revenue data sets.

  Which of the following would be the best way to plot the information to show the top- performing region?

  A. A line chart
  B. A waterfall chart
  C. A heat map
  D. A stacked bar chart
  D. A stacked bar chart

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  Explanation

• Question 95:

  An analyst notices changes in sales ratios when analyzing a quarterly report. Which of the following is the analyst conducting?

  A. A gap analysis
  B. A link analysis
  C. A trend analysis
  D. A statistical analysis
  C. A trend analysis

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  Explanation

  When an analyst observes changes in sales ratios over a period, such as in a quarterly report, they are conducting a trend analysis. Trend analysis is a statistical method used to examine and evaluate the movement of data points over time

  to identify patterns or trends. This type of analysis is particularly useful for forecasting future events based on historical data. It differs from gap analysis, which assesses the difference between actual performance and potential or desired

  performance; link analysis, which is used to find associations among data; and statistical analysis, which is a broad term for all types of data analysis methods, including trend analysis.

  References:

  Investopedia article on Ratio Analysis.

  SpringerLink chapter on Financial Ratios Analysis.

  ExamTopics page mentioning sales ratios in the context of analysis.

  Investopedia definition of Ratio Analysis.

  LiveWell article on Financial Ratio Analysis.

• Question 96:

  An analyst wants to extract data from a variety of sources and store the data in a cloud- based environment prior to cleaning. Which of the following integration techniques should the analyst use?

  A. ETL
  B. API
  C. SQL
  D. ELT
  A. ETL

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  Explanation

• Question 97:

  Which of the following is an example of discrete data?

  A. The number of employees at a company
  B. The amount of rain that falls in a storm
  C. The temperature at a weather station
  D. The power consumption in a building
  A. The number of employees at a company

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  Explanation

• Question 98:

  Which of the following BEST describes the issue in which character values are mixed with integer values in a data set column?

  A. Duplicate data
  B. Missing data
  C. Data outliers
  D. Invalid data type
  D. Invalid data type

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  Explanation

  The invalid data type is the best description for the issue in which character values are mixed with integer values in a data set column. Invalid data type means that the data does not match the expected or required format or structure for a

  given variable or attribute. For example, if a column is supposed to store numerical values, but some rows contain text values, then those rows have an invalid data type.

  References:

  CompTIA Data+ Certification Exam Objectives, page 10

• Question 99:

  A data analyst is developing a dashboard to track and monitor metrics. Which of the following best practices should be taken into during the FIRST pment process?

  A. Create a A Aupirarrame:
  B. Deploy to production.
  C. Copy a dashboard design from the Internet.
  D. Develop a dashboard.
  A. Create a A Aupirarrame:

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  Explanation

  A dashboard is a graphical display that summarizes and presents key performance indicators (KPIs) and metrics for a business or a project. A dashboard should be clear, concise, and easy to understand. To develop a dashboard, one of the

  best practices is to create a wireframe or a mockup first. A wireframe or a mockup is a low- fidelity sketch or prototype of the dashboard layout and design, which helps to define the scope, requirements, and functionality of the dashboard.

  Creating a wireframe or a mockup can help to save time and resources, as well as to get feedback from stakeholders and users before deploying the dashboard to production. Therefore, the correct answer is A.

  References:

  [Dashboard Design Best Practices: 4 Key Principles | Toptal], [How to Create an Effective Dashboard (with Examples) | Tableau]

• Question 100:

  Which of the following are reasons to create and maintain a data dictionary? (Choose two.)

  A. To improve data acquisition
  B. To remember specifics about data fields
  C. To specify user groups for databases
  D. To provide continuity through personnel turnover
  E. To confine breaches of PHI data
  F. To reduce processing power requirements
  A. To improve data acquisition
  B. To remember specifics about data fields

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  Explanation

  The reasons to create and maintain a data dictionary are to improve data acquisition and to remember specifics about data fields. A data dictionary is a document or a database that describes the structure, meaning, and usage of the data

  elements in a data source or a database. A data dictionary can help to improve data acquisition by providing clear and consistent definitions, rules, and standards for the data collection process. A data dictionary can also help to remember

  specifics about data fields by providing information such as data type, format, length, range, default value, constraints, relationships, etc. The other options are not reasons to create and maintain a data dictionary, as they are related to other

  aspects of data management or security. A data dictionary does not specify user groups for databases, as this is a function of access control or authorization. A data dictionary does not provide continuity through personnel turnover, as this is

  a function of documentation or knowledge transfer. A data dictionary does not confine breaches of PHI data, as this is a function of encryption or anonymization. A data dictionary does not reduce processing power requirements, as this is a

  function of optimization or compression.

  [What is a Data Dictionary? - DataCamp]