CompTIA CompTIA Certifications DA0-001 Questions & Answers

• Question 181:

  A data analyst has been asked to create an ad-hoc sales report for the Chief Executive Officer (CEO).

  Which of the following should be included in the report?

  A. The sales representatives' home addresses.

  B. Line-item SKU numbers.

  C. YTD total sales.

  D. The customers' first and last names.

  Correct Answer: C

  Explanation: The report for the CEO should include YTD total sales, as this will provide a high-level overview of the sales performance of the company and show how it is meeting its annual goals. The other options are not appropriate for the CEO, as they are either too detailed or irrelevant for the report. The sales representatives' home addresses, line-item SKU numbers, and customers' first and last names are not related to the sales performance and might compromise the privacy and security of the data. Reference: CompTIA Data+ (DA0-001) Practice Certification Exams | Udemy

• Question 182:

  Which of the following is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language?

  A. SAS

  B. Microsoft Power B1

  C. IBM SPSS

  D. Python

  Correct Answer: D

  Explanation: The option that is a common data analytics tool that is also used as an interpreted, high-level, general-purpose programming language is Python. Python is a popular and versatile programming language that can be used for various purposes, such as web development, software development, automation, machine learning, and data analysis. Python has many features and libraries that make it suitable for data analytics, such as its simple syntax, dynamic typing, multiple paradigms, built-in data structures, NumPy, pandas, matplotlib, scikit-learn, etc. The other options are not programming languages, but software applications or platforms that are used for data analytics or related tasks. SAS is a software suite that provides advanced analytics, business intelligence, data management, and predictive analytics capabilities. Microsoft Power BI is a business analytics service that provides interactive visualizations and business intelligence capabilities. IBM SPSS is a software package that offers statistical analysis, data mining, text analytics, and predictive analytics capabilities. Reference: Python For Data Analysis - DataCamp

• Question 183:

  Which of the following would be used to store unstructured data from different sources?

  A. A data lake

  B. A database management system

  C. A database

  D. A data warehouse

  Correct Answer: A

  Explanation: This is because a data lake is a type of storage system that stores unstructured data from different sources, such as text, images, audio, video, etc. A data lake can be used to store unstructured data from different sources by using a schema-on- read approach, which means that it does not impose any structure or format on the data when it is stored, but rather applies it when it is read or accessed. A data lake can also be used to store unstructured data from different sources by using a distributed file system, such as Hadoop, which means that it can store large volumes and varieties of data across multiple servers or nodes. The other storage systems are not used to store unstructured data from different sources. Here is why: A database management system is a type of software application that manages and controls databases, which are collections of structured or semi-structured data that are organized into tables, rows, and columns. A database management system is not used to store unstructured data from different sources, but rather to store structured or semi-structured data from specific sources by using a schema- on-write approach, which means that it imposes a structure or format on the data when it is stored, and requires it to follow certain rules and constraints, such as primary keys, foreign keys, or referential integrity. A database is a type of storage system that stores structured or semi-structured data that are organized into tables, rows, and columns. A database is not used to store unstructured data from different sources, but rather to store structured or semi-structured data from specific sources by using a relational model, which means that it establishes and maintains relationships between different tables based on common columns or keys. A database can also be used to store structured or semi-structured data from specific sources by using a query language, such as SQL, which means that it can access and manipulate the data using statements or commands. A data warehouse is a type of storage system that stores structured or semi- structured data that are integrated and aggregated from different sources or systems, such as databases, cloud services, or web applications. A data warehouse is not used to store unstructured data from different sources, but rather to store structured or semi-structured data from various sources by using an ETL process, which means that it extracts, transforms, and loads the data into a common format, structure, or schema. A data warehouse can also be used to store structured or semi-structured data from various sources by using an OLAP model, which means that it supports online analytical processing of the data using multidimensional cubes or queries.

• Question 184:

  A development company is constructing a new Init in its apartment complex. The complex has the following floor plans:

  

  Using the average cost per square foot of the original floor plans. which of the following should be the price of the Rose Init?

  A. $640,900

  B. $690,000

  C. $705,200

  D. $702,500

  Correct Answer: D

  Explanation: The correct answer is D. $702,500. To find the price of the Rose unit, we need to use the average cost per square foot of the original floor plans. The average cost per square foot is calculated by dividing the price by the square footage of each unit type. Using the data from the table, we can do the following: Jasmine: $345,000 / 1,000 = $345 per square foot Orchid: $525,000 / 2,000 = $262.5 per square foot Azalea: $375,000 / 1,500 = $250 per square foot Tulip: $450,000 / 1,800 = $250 per square foot The average cost per square foot of the original floor plans is the mean of these four values, which is ($345 + $262.5 + $250 + $250) / 4 = $276.875 per square foot. To find the price of the Rose unit, we need to multiply the average cost per square foot by the square footage of the Rose unit. The Rose unit has a square footage of 2,535, according to the table. Therefore, the price of the Rose unit is $276.875 x 2,535 = $702,421.875.

  Rounding to the nearest whole number, we get $702,500 as the price of the Rose unit.

• Question 185:

  An analyst has conducted a review of business questions. Which of the following should the analyst do next to conduct an analysis?

  A. Determine the data needs and review the observations.

  B. Determine the data needs and sources for analysis.

  C. Determine the data needs and schedule interviews.

  D. Determine the data needs and begin the analysis.

  Correct Answer: B

  After conducting a review of the business questions, the next step for the analyst is to determine the data needs and sources for analysis. This involves identifying the relevant data elements, variables, and metrics that are required to answer the business questions, as well as the data sources, formats, and quality that are available to access and use. This step will help the analyst to plan the data collection, preparation, and integration processes, as well as to assess the feasibility and limitations of the analysis1.

• Question 186:

  A recurring event is being stored in two databases that are housed in different geographical locations. A data analyst notices the event is being logged three hours earlier in one database than in the other database. Which of the following is the MOST likely cause of the issue?

  A. The data analyst is not querying the databases correctly.

  B. The databases are recording different events.

  C. The databases are recording the event in different time zones.

  D. The second database is logging incorrectly.

  Correct Answer: C

  The most likely cause of the issue is that the databases are recording the event in different time zones. For example, if one database is in New York and the other database is in Los Angeles, there is a three-hour difference between them. Therefore, an event that occurs at

  12:00 PM in New York would be recorded as 9:00 AM in Los Angeles. To avoid this issue, the databases should either use a common time zone or convert the timestamps to a standard format. Therefore, option C is correct.

  Option A is incorrect because the data analyst is not querying the databases incorrectly, but rather observing a discrepancy in the timestamps.

  Option B is incorrect because the databases are recording the same event, but with different timestamps.

  Option D is incorrect because the second database is not logging incorrectly, but rather using a different time zone.

• Question 187:

  Kelly wants to get feedback on the final draft of a strategic report that has taken her six months to develop.

  What can she do to get prevent confusion as see seeks feedback before publishing the report?

  Choose the best answer.

  A. Distribute the report to the appropriate stakeholders via email.

  B. Use a watermark to identify the report as a draft.

  C. Show the report to her immediate supervisor.

  D. Publish the report on an internally facing website.

  Correct Answer: B

  The best answer is to use a watermark to identify the report as a draft. A watermark is a faint image or text that appears behind the content of a document, indicating its status or ownership. By using a watermark, Kelly can clearly communicate that the report is not final and still subject to changes or feedback. This can prevent confusion among the readers and avoid any misuse or misinterpretation of the report. The other options are not as effective as using a watermark, as they either do not indicate the status of the report or do not reach the appropriate stakeholders. Distributing the report via email or publishing it on an internally facing website may not make it clear that the report is a draft and may cause confusion or errors. Showing the report to her immediate supervisor may not get enough feedback from other relevant stakeholders who may have different perspectives or insights. Reference: How to Add a Watermark in Microsoft Word - Lifewire

• Question 188:

  Which one of the following is a common data warehouse schema?

  A. Snowflake.

  B. Square.

  C. Spiral.

  D. Sphere.

  Correct Answer: A

  Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings. The Snowflake data platform is not built on any existing database technology or "big data" software platforms such as Hadoop.

• Question 189:

  An analyst is designing a dashboard to determine which site has the highest percentage of new customers. The analyst must choose an appropriate chart to include in the dashboard. The following data is available:

  

  Which of the following types of charts should be considered to best display the data?

  A. Include a bar chart using the site and the percentage of new customers data.

  B. Include a line chart using the site and the percentage of new customers data.

  C. Include a pie chart using the site and percentage of new custorners data.

  D. Include a scatter chart using the site and the percent of new customers data.

  Correct Answer: A

  The best type of chart to display the data is A. Include a bar chart using the site and the percentage of new customers data.

  A bar chart is a good choice for comparing categorical data with numerical data, such as the site and the percentage of new customers. A bar chart can show the relative differences between the sites and highlight the site with the highest

  percentage of new customers. A bar chart can also be easily labeled and formatted to make the data clear and understandable.

  A line chart is not suitable for this data, because it is used to show trends or changes over time, which is not relevant for the site and the percentage of new customers data. A line chart would also be confusing and misleading, as it would

  imply a connection or correlation between the sites that does not exist.

  A pie chart is also not a good choice for this data, because it is used to show the proportion of a whole, not the comparison of different categories. A pie chart would also be difficult to read and interpret, as it would require labels or legends to

  identify the sites and their percentages. A pie chart would also not be able to show the exact values of the percentages, only their relative sizes.

  A scatter chart is another inappropriate option for this data, because it is used to show the relationship or correlation between two numerical variables, not between a categorical and a numerical variable. A scatter chart would also be cluttered

  and unclear, as it would plot each site as a point on a coordinate plane, without any labels or axes. A scatter chart would also not be able to show the differences or rankings between the sites and their percentages.

• Question 190:

  While reviewing survey data, a research analyst notices data is missing from all the responses to a single question. Which of the following methods would BEST address this issue?

  A. Replace missing data.

  B. Remove duplicate data.

  C. Replace redundant data.

  D. Remove invalid data.

  Correct Answer: A

  Explanation: This is because missing data is a type of data quality issue that occurs when data is absent or incomplete in a data set, which can affect the accuracy and reliability of the analysis or process. Missing data can be caused by various factors, such as human error, system error, or non-response. Missing data can be addressed by using various methods, such as replacing missing data, which means filling in or imputing the missing values with some reasonable estimates, such as mean, median, mode, or regression. The other methods are not used to address missing data. Here is why:

  Remove duplicate data is a type of method that eliminates or reduces duplicate data, which is a type of data quality issue that occurs when data is repeated or copied in a data set. Removing duplicate data does not address missing data, but rather affects the quantity and validity of the data. Replace redundant data is a type of method that eliminates or reduces redundant data, which is a type of data quality issue that occurs when data is unnecessary or irrelevant for the analysis or purpose. Replacing redundant data does not address missing data, but rather affects the efficiency and performance of the analysis or process. Remove invalid data is a type of method that eliminates or reduces invalid data, which is a type of data quality issue that occurs when data is incorrect or inaccurate in a data set. Removing invalid data does not address missing data, but rather affects the validity and reliability of the analysis or process.