CompTIA CompTIA Certifications DA0-001 Questions & Answers

• Question 61:

  A user receives a large custom report to track company sales across various date ranges. The user then completes a series of manual calculations for each date range. Which of the following should an analyst suggest so the user has a dynamic, seamless experience?

  A. Create multiple reports, one for each needed date range.

  B. Build calculations into the report so they are done automatically.

  C. Add macros to the report to speed up the filtering and calculations process.

  D. Create a dashboard with a date range picker and calculations built in.

  Correct Answer: D

  Explanation: Create a dashboard with a date range picker and calculations built in. This is because a dashboard is a type of visualization that displays multiple charts or graphs on a single page, usually to provide an overview or summary of some data or information. A dashboard can be used to track company sales across various date ranges by showing different metrics and indicators related to sales, such as revenue, volume, or growth. By creating a dashboard with a date range picker and calculations built in, the analyst can suggest a way for the user to have a dynamic, seamless experience, which means that the user can interact with and customize the dashboard according to their needs or preferences, as well as avoid any manual work or errors. For example, a date range picker is a type of feature or function that allows users to select or adjust the time period for which they want to see the data on the dashboard, such as daily, weekly, monthly, or quarterly. A date range picker can make the dashboard dynamic, as it can automatically update or refresh the dashboard with new data based on the selected time period. Calculations are mathematical operations or expressions that can be performed on the data on the dashboard, such as addition, subtraction, multiplication, division, average, sum, etc. Calculations can make the dashboard seamless, as they can eliminate the need for manual calculations for each date range, as well as ensure accuracy and consistency of the results. The other ways are not the best ways to provide a dynamic, seamless experience for the user. Here is why:

  Creating multiple reports, one for each needed date range would not provide a dynamic, seamless experience for the user, but rather create a static, cumbersome experience, which means that the user cannot interact with or customize the reports according to their needs or preferences, as well as have to deal with multiple files or pages. For example, creating multiple reports would make it difficult for the user to compare or contrast the sales across different date ranges, as well as increase the workload and complexity of managing and maintaining the reports. Building calculations into the report so they are done automatically would not provide a dynamic, seamless experience for the user, but rather provide a partial, limited experience, which means that the user can only benefit from one aspect or feature of the report, but not from others. For example, building calculations into the report would help with avoiding manual work or errors, but it would not help with interacting with or customizing the report according to different date ranges. Adding macros to the report to speed up the filtering and calculations process would not provide a dynamic, seamless experience for the user, but rather provide an advanced, complex experience, which means that the user would need to have some technical skills or knowledge to use or apply the macros, as well as face some potential risks or challenges. For example, adding macros to the report would require the user to know how to write or run the macros, which are a type of code or script that automates certain tasks or actions on the report, such as filtering or calculating the data. Adding macros to the report could also expose the user to some security or compatibility issues, such as viruses, malware, or errors.

• Question 62:

  Which of the following can be used to translate data into another form so it can only be read by a user who has a key or a password?

  A. Data encryption.

  B. Data transmission.

  C. Data protection.

  D. Data masking.

  Correct Answer: A

  Data encryption can be used to translate data into another form so it can only be read by a user who has a key or a password. Data encryption is a process of transforming data using an algorithm or a cipher to make it unreadable to anyone except those who have the key or the password to decrypt it. Data encryption is a common method of protecting data from unauthorized access, modification, or theft. Reference: Guide to CompTIA Data+ and Practice Questions - Pass Your Cert

• Question 63:

  A data analyst has been asked to create a daily manufacturing report for the floor manager Which of the following metrics should be included in the report?

  A. Tons of steel produced per hour

  B. Annual sales budget

  C. End-of-day stock price

  D. Daily corporate employee count

  Correct Answer: A

• Question 64:

  Amanda needs to create a dashboard that will draw information from many other data sources and present it to business leaders.

  Which one of the following tools is least likely to meet her needs?

  A. QuickSight.

  B. Tableau.

  C. Power BI.

  D. SPSS Modeler.

  Correct Answer: D

  SPSS Modeler.

  QuickSight, Tableau, and Power BI are all powerful analytics and reporting tools that can pull data from a variety of sources. SPSS Modeler is a powerful predictive analytics platform that is designed to bring predictive intelligence to decisions

  made by individuals, groups, systems and your enterprise.

• Question 65:

  Which of following is a non-relational database?

  A. Neo4j

  B. SQLite

  C. MySQL

  D. PostgreSQL

  Correct Answer: A

  Neo4j is a type of non-relational database that uses a graph model to store data. A graph database is a database that represents data as nodes and edges, where nodes are entities and edges are relationships between them. A graph database can store complex and diverse data that is not easily structured in tables. A graph database can also perform fast and efficient queries on the data by traversing the connections between the nodes

• Question 66:

  A data analyst is working with a team to create a dashboard for a client who requires on- demand access. Which of the following is the best delivery method to support the clients' requirement?

  A. Email

  B. Scheduled

  C. Subscription

  D. Static

  Correct Answer: C

  The best delivery method to support the client's requirement is C. Subscription. Short explanation: A subscription is a delivery method that allows the client to access the dashboard on-demand, whenever they need it. A subscription can be set up by the data analyst or the client themselves, and it can be configured to send an email notification when the dashboard is updated or refreshed. A subscription also allows the client to view the dashboard online or download it as a file format of their choice12 A. Email is not the best delivery method because it does not allow the client to access the dashboard on-demand. Email deliveries are sent at a fixed time or frequency, and they may not reflect the latest data or changes in the dashboard. Email deliveries also have limitations on the file size and format of the dashboard attachments1 B. Scheduled is not the best delivery method because it does not allow the client to access the dashboard on-demand. Scheduled deliveries are similar to email deliveries, except that they are triggered by a specific event or condition, such as a data update or a threshold value. Scheduled deliveries also have the same limitations as email deliveries on the file size and format of the dashboard attachments1

  D. Static is not the best delivery method because it does not allow the client to access the dashboard on-demand. Static deliveries are one-time deliveries that are manually generated by the data analyst or the client. Static deliveries do not update or refresh automatically, and they may become outdated or irrelevant over time. Static deliveries also have limitations on the file size and format of the dashboard files3

• Question 67:

  Given the following:

  

  Which of the following is the most important thing for an analyst to do when transforming the table for a trend analysis?

  A. Fill in the missing cost where it is null.

  B. Separate the table into two tables and create a primary key

  C. Replace the extended cost field with a calculated field.

  D. Correct the dates so they have the same format.

  Correct Answer: D

  Correcting the dates so they have the same format is the most important thing for an analyst to do when transforming the table for a trend analysis. Trend analysis is a method of analyzing data over time to identify patterns, changes, or

  relationships. To perform a trend analysis, the data needs to have a consistent and comparable format, especially for the date or time variables.

  In the example, the date purchased column has two different formats: YYYY-MM-DD and MM/DD/YYYY. This could cause errors or confusion when sorting, filtering, or plotting the data over time. Therefore, the analyst should correct the

  dates so they have the same format, such as YYYY-MM-DD, which is a standard and unambiguous format.

• Question 68:

  Which of the following techniques is used to quantify data?

  A. Decoding

  B. Enumeration

  C. Coding

  D. Structure

  Correct Answer: C

  Answer: C. Coding Coding is a technique that is used to quantify data, especially qualitative data that are not expressed numerically. Coding involves assigning codes, such as numbers, letters, symbols, or colors, to different categories or themes that emerge from the data. For example, if you have a set of survey responses that ask about the satisfaction level of customers, you can code them as follows: Very satisfied = 5 Satisfied = 4 Neutral = 3 Dissatisfied = 2 Very dissatisfied = 1 By coding the data, you can convert them into quantitative data that can be analyzed using statistical methods, such as calculating the mean, median, mode, frequency, or percentage of each category12. Option A is incorrect, as decoding is not a technique that is used to quantify data, but rather a process of interpreting or translating data from one form to another. For example, decoding can involve converting binary codes into text or images, or decrypting ciphertext into plaintext3. Option B is incorrect, as enumeration is not a technique that is used to quantify data, but rather a process of listing or naming data in a specific order. For example, enumeration can involve listing the names of the states in alphabetical order, or naming the planets in order of their distance from the sun4. Option D is incorrect, as structure is not a technique that is used to quantify data, but rather a property or characteristic of data that describes how they are organized or arranged. For example, structure can refer to the format, type, or schema of data, such as structured, semi-structured, or unstructured data.

• Question 69:

  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

  Correct Answer: B

• Question 70:

  Which of the following variable name formats would be problematic if used in the majority of data software programs?

  A. First_Name_

  B. FirstName

  C. First_Name

  D. First Name

  Correct Answer: D

  Explanation: This is because First Name is a variable name format that would be problematic if used in most of the data software programs, such as Excel, SQL, or Python. This is because First Name contains a space between two words,

  which could cause confusion or errors in the data software programs, as they might interpret the space as a separator or a delimiter between two different variables or values, rather than as part of a single variable name. For example, in SQL,

  a space is used to separate keywords, clauses, or expressions in a statement, such as SELECT, FROM, WHERE, etc. Therefore, using First Name as a variable name in SQL could result in a syntax error or an unexpected result. The other

  variable name formats would not be problematic if used in most of the data software programs. Here is why:

  First_Name_ is a variable name format that uses an underscore (_) to separate two words, which is a common and acceptable practice in most of the data software programs, as it helps to improve the readability and clarity of the variable

  name. For example, in Python, an underscore is used to follow the PEP 8 style guide for naming variables, which recommends using lowercase letters and underscores for multi-word variable names.

  FirstName is a variable name format that uses camel case to separate two words, which is another common and acceptable practice in most of the data software programs, as it helps to reduce the length and complexity of the variable name.

  For example, in Excel, camel case is used to follow the VBA naming conventions for naming variables, which recommends using mixed case letters for multi-word variable names.

  First_Name is a variable name format that also uses an underscore (_) to separate two words, which is also a common and acceptable practice in most of the data software programs, as it helps to improve the readability and clarity of the

  variable name. For example, in SQL, an underscore is used to follow the ANSI SQL naming standards for naming variables, which recommends using lowercase letters and underscores for multi-word variable names.