CompTIA DA0-001 Exam Practice Test Instant Access

Question 1

Which of the following technologies would be best suited for creating a multiple linear regression model?

AMicrosoft Power Bl

CSQL

DTableau

Answer : B

R is a statistical programming language that is specifically designed for data analysis and statistical modeling, making it highly suitable for creating a multiple linear regression model. It has extensive libraries such aslm()for linear modeling, which simplifies the process of model creation, diagnostics, and interpretation.R also provides robust tools for data manipulation and visualization, which are essential for preparing data for regression analysis and understanding the results123.

While Microsoft Power BI, SQL, and Tableau have capabilities for regression analysis, they are more limited compared to R. Power BI and Tableau are primarily business intelligence tools that offer some built-in analytics capabilities, but they are not as comprehensive as R.SQL is a database query language that can perform some statistical calculations, but it is not inherently designed for statistical modeling4567.

Multiple Linear Regression in R: Tutorial With Examples - DataCamp1.

Implementing linear regression in Power BI - SQLBI5.

Choosing a Predictive Model - Tableau6.

How Predictive Modeling Functions Work in Tableau7.

Question 2

An analyst is explaining the company's financial systems and reporting tools to a new coworker. Which of the following data quality dimensions are the most important? (Select three).

AData formatting

BData accuracy

CData maturity

DData field

EData completeness

FData consistency

GData diversity

HData deletion

Answer : B, E, F

Comprehensive and Detailed In-Depth

In the context of financial systems and reporting tools, ensuring high data quality is paramount. The most critical dimensions of data quality in this scenario include:

Option B:Data accuracy

Rationale:Data accuracy refers to the correctness and precision of the data. In financial systems, inaccurate data can lead to erroneous reports, affecting decision-making and potentially leading to financial losses. Ensuring that data accurately reflects real-world values is essential.

Option E:Data completeness

Rationale:Data completeness ensures that all necessary data is present and accounted for. Missing data can result in incomplete analyses and reports, which can misinform stakeholders and lead to suboptimal decisions.

Option F:Data consistency

Rationale:Data consistency involves maintaining uniformity and coherence of data across different systems and reports. Inconsistent data can cause discrepancies in financial reporting, undermining trust in the data and leading to confusion.

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Question 3

Which of the following is a KPI metric for tracking sales performance?

AOrder status percentage

BCustomer acquisition percentage

CGross profit percentage

DClick-through rate percentage

Answer : C

Gross profit percentage is a key performance indicator (KPI) that measures the profitability of a company's sales by showing the percentage of revenue that exceeds the cost of goods sold (COGS). It is a critical metric for tracking sales performance because it directly reflects the efficiency of a company in managing its production costs and the profitability of its products. This KPI is essential for understanding the financial health of a business and making informed decisions about pricing, cost control, and sales strategies.

Sales KPIs are essential for measuring the effectiveness of sales activities and the profitability of those efforts1.

Gross profit percentage is highlighted as a crucial metric for assessing the financial success of sales initiatives2.

Understanding the difference between sales metrics and KPIs, and the importance of gross profit percentage as a KPI1.

The significance of gross profit percentage in evaluating sales team performance and guiding business decisions3.

Question 4

Joseph is interpreting a left skewed distribution of test scores. Joe scored at the mean, Alfonso scored at the median, and gaby scored and the end of the tail.

Who had the highest score?

AJoseph

BJoe

CAlfonso

DGaby

Answer : C

Alfonso had the highest score. A left skewed distribution is a distribution where the tail is longer on the left side than on the right side, meaning that most of the values are clustered on the right side and there are some outliers on the left side. In a left skewed distribution, the mean is less than the median, which is less than the mode. Therefore, Joseph, who scored at the mean, had the lowest score, Gaby, who scored at the end of the tail, had the second lowest score, and Alfonso, who scored at the median, had the highest score. Reference:Skewness - Statistics How To

Question 5

Which of the following data types must be used when working with variables that require classification into two or more groups before analysis?

ADiscrete

BNumerical

CAlphanumeric

DCategorical

Answer : D

Question 6

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?

ATranspose the first name and last name in both tables. Use lookup to pull the address field from Table 2 into Table 1.

BUse lookup with the first name or first name to pull the address field from Table 2 into Table 1.

CUse 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.

DCreate 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.

Answer : D

Question 7

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?

AFill in the missing cost where it is null.

BSeparate the table into two tables and create a primary key

CReplace the extended cost field with a calculated field.

DCorrect the dates so they have the same format.

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.

CompTIA DA0-001 CompTIA Data+ Certification Exam Practice Test