CompTIA DA0-001 Online Practice Questions and Exam Preparation

CompTIA DA0-001 Online Questions & Answers

• Question 241:

  You are working with a professional statistician to perform an analysis and would like to use a statistics package.

  Which one of the following would be the most appropriate?

  A. Rapid Miner.
  B. QLIK.
  C. Power BI.
  D. Minitab.
  D. Minitab.

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  Explanation

  Minitab is statistical analysis software. It can be used for learning about statistics as well as statistical research. Statistical analysis computer applications have the advantage of being accurate, reliable, and generally faster than computing statistics and drawing graphs by hand.

• Question 242:

  Given the following data:

  CustomerID ItemBought Date Tre_234 Sofa 2022-09-08 216_Tre Shoes 08/02/2021 215/Tre Blanket 2021/06/20 045/Tre Mug 12-26-2021 Tre-345 Lamp 31/08/2022 TREJD19 Bucket 2022'08/01

  Which of the following best describes the main issue in the data set?

  A. Inconsistent data
  B. Data mismatch
  C. Invalid data
  D. Redundant data
  A. Inconsistent data

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  Explanation

• Question 243:

  Which of the following would be the best way to identify multicollinear attributes in a data set?

  A. Correlation coefficient
  B. Chi-squared test
  C. Two-sample f-test
  D. Two-way ANOVA
  A. Correlation coefficient

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  Explanation

  Multicollinearity in a dataset refers to the situation where two or more predictor variables are highly correlated, meaning that one can be linearly predicted from the others with a substantial degree of accuracy. In such cases, the correlation

  coefficient is a key statistical measure used to identify the presence of multicollinearity. It quantifies the degree to which two variables are linearly related. The Variance Inflation Factor (VIF) is another commonly used metric that is derived

  from the correlation coefficient. It assesses how much the variance of an estimated regression coefficient increases if your predictors are correlated. If no factors are correlated, the VIFs will all be equal to . While the other options listed--Chisquared test, Two-sample f-test, and Two-way ANOVA--are valuable statistical tools, they serve different purposes and are not typically used to detect multicollinearity. The Chi-squared test is used for testing relationships between categorical

  variables, the Two-sample f-test compares variances across groups, and Two-way ANOVA is used to understand the interaction between two independent categorical variables on a continuous dependent variable.

  References:

  Multicollinearity in Regression Analysis: Problems, Detection, and Solutions.

  What is multicollinearity and how to remove it?

  Detect and Treat Multicollinearity in Regression with Python.

• Question 244:

  A data analyst needs to create a weekly recurring report on sales performance and distribute it to all sales managers. Which of the following would be the BEST method to automate and ensure successful delivery for this task?

  A. Use scheduled report delivery.
  B. Implement subscription access delivery.
  C. Print out a copy.
  D. Upload the report to the server.
  A. Use scheduled report delivery.

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  Explanation

  Scheduled report delivery is a feature that allows a data analyst to automate the generation and distribution of a report at a specified time and frequency. This would be the best method to ensure that the sales managers receive the weekly

  report on sales performance without manual intervention. Subscription access delivery is a feature that allows users to subscribe to a report and access it on demand, but it does not automate the delivery. Printing out a copy or uploading the

  report to the server are manual methods that require more time and effort from the data analyst.

  CertMaster Practice for Data+ Exam Prep - CompTIA

• Question 245:

  Given the below:

  

  Which of the following numbers represents a Type I error?

  A. 1
  B. 2
  C. 3
  D. 4
  C. 3

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  Explanation

• Question 246:

  When analyzing the values of two variables, you decide to convert both variables so they are on a scale of 0 to 1. What term describes this action?

  A. Filtering.
  B. Normalization.
  C. Transposition.
  D. Aggregation.
  B. Normalization.

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  Explanation

  Normalization is the process of reorganizing data in a database so that it meets two basic requirements: There is no redundancy of data, all data is stored in only one place. Data dependencies are logical, all related data items are stored together. Put simply, data normalization ensures that your data looks, reads, and can be utilized the same way across all of the records in your customer database. This is done by standardizing the formats of specific fields and records within your customer database.

• Question 247:

  Which of the following data protection methods provides confidentiality for data in transit?

  A. De-identification
  B. Encryption
  C. Masking
  D. Anonymization
  B. Encryption

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  Explanation

• Question 248:

  Jhon is working on an ELT process that sources data from six different source systems. Looking at the source data, he finds that data about the sample people exists in two of six systems.

  What does he have to make sure he checks for in his ELT process?

  A. Duplicate Data.
  B. Redundant Data.
  C. Invalid Data.
  D. Missing Data.
  C. Invalid Data.

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  Explanation

  Duplicate Data.

  While invalid, redundant, or missing data are all valid concerns, data about people exists in two of the six systems. As such, Jhon needs to account for duplicate data issues.

• Question 249:

  Which of the following occurs if a 90% confidence interval increases to 95%?

  A. The margin of error does not change.
  B. The interval remains the same.
  C. The interval becomes narrower.
  D. The margin of error doubles.
  D. The margin of error doubles.

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  Explanation

• Question 250:

  Given the data below:

  

  In which of the following file formats is the data presented?

  A. Xs
  B. CSV
  C. RIF
  D. XML
  B. CSV

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  Explanation

  The data is presented in a CSV (comma-separated values) file format, which is a plain text format that stores tabular data. Each line of the file is a data record, and each record consists of one or more fields separated by commas. The first

  line of the file usually contains the names of the fields, also known as the header. In this case, the data has four fields: Name, Age, Gender, and Occupation. Therefore, the correct answer is

  B.

  References:

  CSV File (What It Is and How to Open One), Comma-separated values - Wikipedia