CompTIA DA0-001 Online Practice Questions and Exam Preparation

CompTIA DA0-001 Online Questions & Answers

• Question 221:

  Which of the following would be considered non-personally identifiable information?

  A. Cell phone device name
  B. Customer's name
  C. Government ID number
  D. Telephone number
  A. Cell phone device name

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  Explanation

  Non-personally identifiable information (non-PII) is any data that cannot be used to identify, contact, or locate a specific individual, either alone or combined with other sources. Non-PII can include aggregated statistics, anonymous data,

  device identifiers, IP addresses, cookies, and other types of information that do not reveal the identity or location of a person. Cell phone device name is an example of non-PII, as it does not reveal any personal information about the owner or

  user of the device. Therefore, the correct answer is A.

  References:

  What is Non-Personally Identifiable Information (Non-PII)? | Definition and Examples, What is Personally Identifiable Information (PII)? | Definition and Examples

• Question 222:

  Which of the following report types is most appropriate for a high-level, year-end report requested by a Chief Executive Officer?

  A. Dynamic
  B. Recurring
  C. Ad hoc
  D. Self-service
  B. Recurring

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  Explanation

  For a high-level, year-end report requested by a Chief Executive Officer (CEO), a recurring report type is most appropriate. Recurring reports are regular, scheduled reports that typically summarize information over a set period, such as a fiscal year. They provide a consistent format for executives to track performance over time, and their standardized nature makes them suitable for high-level analysis and decision-making. Since CEOs need to monitor performance and make strategic decisions, a recurring report that provides a comprehensive overview of the year's activities and outcomes would be valuable. This allows the CEO to evaluate the company's performance against its goals and objectives systematically. Dynamic reports (A) are more interactive and typically used for in-depth analysis where users can drill down into the data. Ad hoc reports (C) are one-time, usually unscheduled reports tailored for specific questions, which may not be as comprehensive as a year-end report requires. Self-service reports (D) allow users to create their reports on demand, which may not be the formal, synthesized view a CEO would need for a year-end report.

• Question 223:

  A data analyst has been asked to create one table that has each employee's first name, last name, sales, and address. The sales and addresses are listed in the tables below:

  

  Which of the following steps should the analyst take to create the table?

  A. Transpose the first name and last name in both tables. Use lookup to pull the address field from Table 2 into Table 1.
  B. Use lookup with the first name or first name to pull the address field from Table 2 into Table 1.
  C. Use the append formula in both tables for the first name and last name. Use lookup to pull the address field from Table 2 into Table 1.
  D. Create a column that concatenates the first name and last name in each table. Use concatenate and lookup to bring the address field into Table 1.
  D. Create a column that concatenates the first name and last name in each table. Use concatenate and lookup to bring the address field into Table 1.

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  Explanation

• Question 224:

  A data analyst needs to create a dashboard to help identify trends in the data sets. Which of the following is an appropriate consideration for dashboard development?

  A. Data sources and attributes
  B. Frequently asked questions
  C. A report from the data source
  D. A comparison of data sets
  A. Data sources and attributes

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  Explanation

  When creating a dashboard to identify trends in data sets, the most appropriate consideration is the data sources and attributes. This is because the quality, reliability, and structure of the data sources directly influence the dashboard's ability

  to accurately reflect trends. Attributes, such as the type of data and the time frame it covers, are crucial for trend analysis. A well-designed dashboard should provide a clear and intuitive representation of the data, allowing for easy

  identification of trends and patterns. Frequently asked questions (B) can inform the design of the dashboard but are not a direct consideration for the development process itself. A report from the data source?might be an output of the

  dashboard but does not guide its development. A comparison of data sets (D) could be a feature of the dashboard, but the underlying data sources and attributes must be considered first to ensure accurate and meaningful comparisons.

  References:

  Best practices in dashboard design emphasize the importance of understanding and consolidating different data sources and creating a mix of useful metrics, which aligns with the choice of data sources and attributes. Fundamental

  dashboard design principles include the clear and efficient display of information, which is dependent on the proper selection and use of data sources and attributes. Effective dashboard communication is achieved by using colors, shapes,

  sizes, labels, and legends meaningfully, all of which rely on the underlying data sources and attributes.

• Question 225:

  Which of the following is an example of a at flat file?

  A. CSV file
  B. PDF file
  C. JSON file
  D. JPEG file
  D. JPEG file

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  Explanation

• Question 226:

  Which of the following describes the use of a representative amount of data from a main repository?

  A. Observation
  B. Delta load
  C. Web scraping
  D. Sampling
  D. Sampling

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  Explanation

  Sampling refers to the process of selecting a representative subset of data from a larger data set or repository. This technique is used when it is impractical or unnecessary to analyze the entire set of data. A representative sample should

  accurately reflect the characteristics of the larger population, allowing for analysis and inference about the population as a whole. Observation (A) generally refers to the act of monitoring or recording data. Delta load (B) is a term used in data

  warehousing to describe the process of loading only the changes since the last data extraction, rather than the entire data set.

  Web scraping is the process of extracting data from websites.

  References:

  Understanding the importance of data sampling.

  The concept of a representative sample in statistics.

  Data repository management and usage.

  Benefits and methods of data sampling.

• Question 227:

  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

  Exploratory data analysis (EDA) is a process of examining and summarizing a dataset using various techniques, such as descriptive statistics, visualizations, correlations, outliers detection, and hypothesis testing. EDA can help reveal the

  main characteristics, patterns, trends, and insights from the data, as well as identify any problems or issues with the data quality or structure. EDA is usually performed after understanding a business requirement for a data analysis report and

  before building a mock dashboard/presentation layout. Therefore, the correct answer is

  B.

  References:

  [What is Exploratory Data Analysis? | Definition and Examples], [Exploratory Data Analysis in Python]

• Question 228:

  A county in Illinois is conducting a survey to determine the mean annual income per household. The county is 427sq mi (2.65q km).

  Which of the following sampling methods would MOST likely result in a representative sample?

  A. A stratified phone survey of 100 people that is conducted between 2:00 p.m. and 3:00 p.m.
  B. A systematic survey that is sent to 100 single-family homes in the county.
  C. Surveys sent to ten randomly selected homes within 5mi (8km) of the county's office.
  D. Surveys sent to 100 randomly selected homes that are reflective of the population.
  D. Surveys sent to 100 randomly selected homes that are reflective of the population.

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  Explanation

  Surveys sent to 100 randomly selected homes that are reflective of the population. This is because a random sample is a type of sample that is selected by using a random method, such as a lottery or a computer-generated number, which ensures that every element in the population has an equal chance of being selected. A random sample can result in a representative sample, which means that the sample reflects the characteristics and diversity of the population. By sending surveys to 100 randomly selected homes that are reflective of the population, the analyst can ensure that the sample is representative of the county's households and their income levels. The other sampling methods are not likely to result in a representative sample. Here is why:

  A stratified phone survey of 100 people that is conducted between 2:00 p.m. and 3:00 p.m. would result in a biased sample, which means that the sample favors or excludes certain groups or elements in the population. By conducting the survey only between 2:00 p.m. and 3:00 p.m., the analyst would miss out on people who are not available or reachable at that time, such as those who are working or sleeping. This could affect the representativeness and generalizability of the sample. A systematic survey that is sent to 100 single-family homes in the county would result in an unrepresentative sample, which means that the sample does not reflect the characteristics and diversity of the population. By sending surveys only to single-family homes, the analyst would ignore other types of households, such as apartments, condos, or mobile homes. This could affect the accuracy and reliability of the sample. Surveys sent to ten randomly selected homes within 5mi (8km) of the county's office would result in a small sample, which means that the sample size is too low to capture the variability and diversity of the population. By sending surveys only to ten homes within a limited area, the analyst would miss out on many households that are located in different parts of the county. This could affect the precision and confidence of the sample.

• Question 229:

  Which of the following describes the method of sampling in which elements of data are selected randomly from each of the small subgroups within a population?

  A. Simple random
  B. Cluster
  C. Systematic
  D. Stratified
  D. Stratified

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  Explanation

  This is because stratified is a type of sampling in which elements of data are selected randomly from each of the small subgroups within a population, such as age groups, gender groups, or income groups. Stratified sampling can be used to ensure that the sample is representative and proportional of the population, as well as reduce the sampling error or bias. For example, stratified sampling can be used to select a sample of voters from different political parties based on their proportion in the population. The other types of sampling are not the types of sampling in which elements of data are selected randomly from each of the small subgroups within a population. Here is why: Simple random is a type of sampling in which elements of data are selected randomly from the entire population, without dividing it into any subgroups. Simple random sampling can be used to ensure that every element in the population has an equal chance of being selected, as well as avoid any systematic error or bias. For example, simple random sampling can be used to select a sample of students from a school by using a lottery or a computer-generated number. Cluster is a type of sampling in which elements of data are selected randomly from a few large subgroups within a population, such as regions, districts, or schools. Cluster sampling can be used to reduce the cost and complexity of sampling, as well as increase the feasibility and convenience of sampling. For example, cluster sampling can be used to select a sample of households from a few neighborhoods by using a map or a list. Systematic is a type of sampling in which elements of data are selected at regular intervals from an ordered list or sequence within a population, such as every nth element or every kth element. Systematic sampling can be used to simplify and speed up the sampling process, as well as ensure that the sample covers the entire range or scope of the population. For example, systematic sampling can be used to select a sample of books from a library by using an alphabetical order or a numerical order.

• Question 230:

  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?

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

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  Explanation

  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.

  How to Add a Watermark in Microsoft Word - Lifewire