DA0-001 Exam Dumps Pass with Updated Mar-2025 Tests Dumps [Q59-Q83]

QUESTION 59
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?

The data analyst is not querying the databases correctly.

The databases are recording different events.

The databases are recording the event in different time zones.

The second database is logging incorrectly.

QUESTION 60
Given the following report:

Which of the following components need to be added to ensure the report is point-in-time and static? (Choose two.)

A control group for the phrases

A summary of the KPIs

Filter buttons for the status

The date when the report was last accessed

The time period the report covers

The date on which the report was run

QUESTION 61
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?

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

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

Include a pie chat using the site and percentage of new customers data.

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

Explanation
This is because a bar chart is a type of chart that shows the value or the amount of a single variable for different categories or groups, such as the percentage of new customers for different sites in this case. A bar chart can be used to display and analyze the comparison, ranking, or proportion among the categories or groups, as well as identify any differences, similarities, or outliers in the data. For example, a bar chart can show which site has the highest or lowest percentage of new customers, as well as show how much each site contributes to the total percentage of new customers. The other types of charts are not the best charts to display the data. Here is why:
A line chart is a type of chart that shows the change or the trend of a single variable over time, such as the percentage of new customers over months or years in this case. A line chart can be used to display and analyze the movement, cycle, or pattern of the variable, as well as identify any peaks, valleys, or fluctuations in the data. For example, a line chart can show how the percentage of new customers increases or decreases over time, as well as show if there are any seasonal or periodic variations in the data.
A pie chart is a type of chart that shows the proportion or the percentage of a single variable for different categories or groups, such as the percentage of new customers for different sites in this case. A pie chart can be used to display and analyze the composition, distribution, or share of the variable, as well as identify any segments, slices, or fractions in the data. For example, a pie chart can show how much each site represents of the total percentage of new customers, as well as show if there are any dominant or minor sites in the data.
A scatter chart is a type of chart that shows the relationship between two variables for each observation or unit in a data set, such as the percentage of new customers and another variable for each site in this case. A scatter chart can be used to display and analyze the correlation, trend, or pattern among the variables, as well as identify any outliers or clusters in the data. For example, a scatter chart can show if there is a positive, negative, or no correlation between the percentage of new customers and another variable, such as sales revenue or customer satisfaction.

QUESTION 62
A data analyst has received a data set that contains actual and projected sales for the fourth quarter of 2019. Which of the following statistical methods should the analyst use to find the measure of dispersion?

Mean

Variance

Correlation

Confidence interval

QUESTION 63
What term is used to describe an interactive visualization that encourages people to explore data dynamically?

Data set.

Dashboard.

Data point.

Graphical representation.

QUESTION 64
A data analyst needs to create a master file that includes customer information from the tables below:

Given the three tables above, the analyst wants to filter down the information prior to joining it together. In which of the following orders should this data manipulation bo approached for the most efficient result?

Merge, append, deduplicate

Merge, deduplicate, append

Deduplicate, append, merge

Append, deduplicate, merge

QUESTION 65
A data analyst needs to create a data visualization that aids in un the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data visualization methods should the analyst use?

A bubble chart

A waterfall chart

A scatter plot

A line chart

QUESTION 66
Which of the following contains alphanumeric values?

10.1²

13.6

1347

A3J7

QUESTION 67
An analyst has conducted a review of business questions. Which of the following should the analyst do next to conduct an analysis?

Determine the data needs and review the observations.

Determine the data needs and sources for analysis.

Determine the data needs and schedule interviews.

Determine the data needs and begin the analysis.

QUESTION 68
What effort has the goal of maintaining a single source of truth for the most important data elements handled by the organization?

MDM (Master Data Management)

IPS (Intrusion Prevention System)

MAM (Mobile Application Management)

DLP (Data Loss Prevention)

QUESTION 69
Given the below:

Which of the following numbers represents a Type I error?

1

2

3

4

QUESTION 70
A marketing analytics team received customer transaction data from two different sources. The data is complete and accurate; however, the field names appear to be inconsistent. Given the following tables:

Which of the following is considered best practice if the team wants to consolidate the files and conduct further analysis?

Standardize the field names.

Recode the data values.

Overwrite the field names in one of the tables.

Edit the field names in the data dictionary.

QUESTION 71
How many US. states currently have data breach notification laws?

49

45

38

50

QUESTION 72
What type of metric is commonly shown on dashboards to assist senior leaders in assessing the organization’s progress toward significant goal?

KMI

KPI

KRI

KCI

QUESTION 73
Which of the following variable name formats would be problematic if used in the majority of data software programs?

First_Name_

FirstName

First_Name

First Name

QUESTION 74
A database consists of one fact table that is composed of multiple dimensions. Depending on the dimension, each one can be represented by a denormalized table or multiple normalized tables. This structure is an example of a:

transactional schema.

star schema.

non-relational schema.

snowflake schema.

QUESTION 75
Given the diagram below:

Which of the following steps is missing?

Remove redundant data.

Validate the data types.

Connect to the data API.

Normalize the data.

QUESTION 76
Which of the following is a KPI metric for tracking sales performance?

Order status percentage

Customer acquisition percentage

Gross profit percentage

Click-through rate percentage

QUESTION 77
What type of visualization allows the use of a bar chart for continuous variables?

Waterfall chart

Line chart

Histogram

Tree map

QUESTION 78
A data analyst was asked to create a chart that shows the relationship between study hours and exam scores for each student using the data sets in the table below:

Which of the following charts would BEST represent the relationship between the variables?

A histogram

A scatter plot

A heat map

A bar chart

QUESTION 79
Which of the following technologies would be best suited for creating a multiple linear regression model?

Microsoft Power Bl

R

SQL

Tableau

QUESTION 80
Given the following data:

Which of the following BEST describes the data set?

There is data bias.

The data is incomplete.

The data is inconsistent.

The data is outliers.

Explanation
This is because inconsistency is a type of data quality issue that occurs when the data does not follow a common format, structure, or rule across different sources or systems, which can affect the efficiency and performance of the analysis or process. Inconsistency can be caused by having different spellings, punctuations, capitalizations, or abbreviations for the same or similar values in a data set, such as “M”, “m”,
“Male”, or “male” for gender in this case. Inconsistency can be eliminated or reduced by using data cleansing techniques, such as standardizing or normalizing the data values. The other options are not correct descriptions of the data set. Here is why:
Data bias is a type of data quality issue that occurs when the data is not representative or proportional of the population or the parameter, which can affect the validity and reliability of the analysis or process.
Data bias can be caused by having a sample that is too small, too large, or too skewed for the population or the parameter, such as having only male customers for a product that targets both genders in this case.
Data bias can be eliminated or reduced by using sampling techniques, such as stratified or cluster sampling.
The data is incomplete is a type of data quality issue that occurs when the data is absent or missing in a data set, which can affect the accuracy and reliability of the analysis or process. The data is incomplete can be caused by various factors, such as human error, system error, or non-response. The data is incomplete can be addressed by using various methods, such as replacing or imputing the missing values with some reasonable estimates, such as mean, median, mode, or regression.
The data is outliers is a type of data quality issue that occurs when the data has values that are unusually high or low compared to the rest of the data set, which can affect the quality and validity of the analysis or process. The data is outliers can be caused by various factors, such as measurement error, natural variation, or extreme events. The data is outliers can be addressed by using various methods, such as removing or filtering out the outliers, or using robust statistics that are less sensitive to outliers, such as median, interquartile range, or box plot.

QUESTION 81
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?

Create multiple reports, one for each needed date range.

Build calculations into the report so they are done automatically.

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

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

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 82
A research analyst wants to determine whether the data being analyzed is connected to other datapoints. Which of the following is the BEST type of analysis to conduct?

Trend analysis

Performance analysis

Link analysis

Exploratory analysis

QUESTION 83
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?