CompTIA DA0-001 Online Practice Questions and Exam Preparation

CompTIA DA0-001 Online Questions & Answers

• Question 111:

  An analyst needs to join two data sets that compare vehicle weights. One data set is in pounds, and the other has various units of measure. Which of the following should the analyst do first to the data prior to any type of join?

  A. Blend
  B. Reduce
  C. Concatenate
  D. Normalize
  D. Normalize

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  Explanation

• Question 112:

  Given the table below:

  

  Which of the following variable types BEST describes the "Year" column?

  A. Numeric
  B. Date
  C. Alphanumeric
  D. Text
  B. Date

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  Explanation

  This is because date is a type of variable that represents a specific point or period in time, such as a day, a month, or a year. Date variables can be used to store, manipulate, or analyze temporal data, such as transaction dates, birth dates, or expiration dates. For example, date variables can be used to calculate the duration or the difference between two dates, or to filter or sort the data by date. The other variable types are not correct descriptions of the "Year" column. Here is why:

  Numeric is a type of variable that represents a numerical value, such as an integer, a decimal, or a fraction. Numeric variables can be used to store, manipulate, or analyze quantitative data, such as amounts, prices, or scores. For example, numeric variables can be used to perform arithmetic operations or calculations on the data, or to measure the central tendency or the dispersion of the data. Alphanumeric is a type of variable that represents a combination of alphabetic and numeric characters, such as letters, numbers, symbols, or spaces. Alphanumeric variables can be used to store, manipulate, or analyze textual data, such as names, addresses, or codes. For example, alphanumeric variables can be used to concatenate or split the data, or to search or match the data using patterns or expressions. Text is a type of variable that represents a sequence of alphabetic characters, such as letters or words. Text variables can be used to store, manipulate, or analyze textual data, such as names, categories, or labels. For example, text variables can be used to change the case or the length of the data, or to compare or classify the data using criteria or rules.

• Question 113:

  The current date is July 14, 2020. A data analyst has been asked to create a report that shows the company's year-over-year Q2 2020 sales.

  Which of the following reports should the analyst compare?

  A. A Q2 2020 and Q4 2019
  B. YTD 2020 and YTD 2019
  C. Q2 2020 and Q2 2019
  D. Q2 2020 and Q2 2021
  C. Q2 2020 and Q2 2019

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  Explanation

  To create a report that shows the company's year-over-year Q2 2020 sales, the analyst should compare the sales data from Q2 2020 and Q2 2019. Year-over-year (YoY) analysis is a method of comparing the performance of a business or a financial instrument over the same period in different years. It helps to identify trends, growth patterns, and seasonal fluctuations. Q2 refers to the second quarter of a year, which is usually from April to June. Therefore, the correct answer is

  C.

  References:

  YoY - Year over Year Analysis - Definition,

  Explanation and Examples, What is an Annual Sales Report:

  Definition, metrics, and tips - Snov.io

• Question 114:

  Emma is working in a data warehouse and finds a finance fact table links to an organization dimension, which in turn links to a currency dimension that not linked to the fact table.

  What type of design pattern is the data warehouse using?

  A. Star.
  B. Sun.
  C. Snowflake.
  D. Comet.
  C. Snowflake.

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  Explanation

  Correct answer

  C. Snowflake.

  Since the dimension links to a dimension that isn't connected to the fact table, it must be a Snowflake, with a Star, all dimensions link directly to the fact table, Sun and Comet are not data warehouse design patterns.

• Question 115:

  Which of the following should be accomplished NEXT after understanding a business requirement for a data analysis report?

  A. Rephrase the business requirement.
  B. Determine the data necessary for the analysis
  C. Build a mock dashboard/presentation layout.
  D. Perform exploratory data analysis.
  B. Determine the data necessary for the analysis

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  Explanation

  The next step after understanding a business requirement for a data analysis report is to determine the data necessary for the analysis. This step involves identifying the data sources, variables, metrics, and dimensions that are relevant and

  sufficient to answer the business question or problem. This step also involves assessing the availability, quality, and accessibility of the data, and planning how to collect, clean, and prepare the data for analysis. The other options are not the

  next steps after understanding a business requirement, but rather subsequent steps in the data analysis process. Rephrasing the business requirement is a step that can help clarify and refine the business question or problem before

  determining the data necessary for the analysis. Building a mock dashboard/presentation layout is a step that can help design and visualize the report before performing the data analysis. Performing exploratory data analysis is a step that

  can help explore and summarize the data before drawing conclusions and recommendations from the data.

  Data Analysis Process - DataCamp

• Question 116:

  An analyst is compiling a series of reports for the new executive board to review. Which of the following elements provides a snapshot of what is contained in the reports for the executives who do not have time to focus on the details?

  A. Tables
  B. Reference data sources
  C. Observations and insights
  D. Instruction page
  C. Observations and insights

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  Explanation

• Question 117:

  Which of the following will MOST likely be streamed live?

  A. Machine data
  B. Key-value pairs
  C. Delimited rows
  D. Flat files
  A. Machine data

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  Explanation

  Machine data is the most likely type of data to be streamed live, as it refers to data generated by machines or devices, such as sensors, web servers, network devices, etc. Machine data is often produced continuously and in large volumes, requiring real-time processing and analysis. Other types of data, such as key-value pairs, delimited rows, and flat files, are more likely to be stored in databases or files and processed in batches.

• Question 118:

  Which of the following is the best variable formal to store a customer's age using the least possible amount of storage data?

  A. Int
  B. Float
  C. Char
  D. Double
  A. Int

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  Explanation

• Question 119:

  An organization would like to add a secondary email field to its customer database in order to enrich the customer profiles.

  Which of the following data manipulation techniques should the analyst use to add this information?

  A. Blend
  B. Merge
  C. Append
  D. Aggregate
  C. Append

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  Explanation

• Question 120:

  Which of the following tools would be best to use to calculate the interquartile range, median, mean, and standard deviation of a column in a table that has 5.000.000 rows?

  A. Microsoft Excel
  B. R
  C. Snowflake
  D. SQL
  B. R

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  Explanation