D468 Discovering Data

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Free D468 Discovering Data Questions

1.

What is one of the five key aspects of analytical thinking?

  • Curiosity

  • Strategy

  • Data visualization

  • Problem avoidance

Explanation

Explanation:

Analytical thinking involves breaking down complex problems into smaller, manageable parts and approaching them systematically. The five key aspects of analytical thinking are correlation, context, big-picture thinking, visualization, and strategy. Strategy, in this context, refers to the ability to create a logical plan or structured approach to solving a problem or achieving a goal. It helps analysts determine which methods, tools, and processes to use for efficient problem-solving and data interpretation.

Correct Answer:

Strategy


2.

How would you explain a Microsoft Excel pivot table to a customer?

  • A tool to summarize a large data set in a user-friendly way

  • A chart used to create visual effects

  • A formula that calculates averages automatically

  • A template for formatting spreadsheet cells

Explanation

Explanation:

A pivot table in Microsoft Excel is a powerful tool used to summarize, organize, and analyze large data sets efficiently. It allows users to rearrange and filter data dynamically, helping them identify trends, totals, and comparisons without altering the original dataset. This makes complex data easier to understand and present.

Correct Answer:

A tool to summarize a large data set in a user-friendly way


3.

How is a spreadsheet leveraged to support the Archive phase of the data life cycle?

  • It stores historical data for future data analysis

  • It generates predictions from live data streams.

  • It automatically cleans and validates raw data.

  • It visualizes current trends for immediate action

Explanation

Explanation:

In the Archive phase of the data life cycle, the main goal is to store historical data securely for potential future reference or analysis. A spreadsheet can be used to organize and maintain this archived data in a structured format, making it easily retrievable when needed. While it’s not ideal for large-scale storage, spreadsheets are useful for small to medium datasets that need to be referenced periodically for performance tracking, audits, or historical comparisons.

Correct Answer:

It stores historical data for future data analysis.


4.

While working in Microsoft Excel, an analyst scrolls down the page and realizes there are 300 rows of data that need to be added to the total sales volume for a meeting that is starting in two minutes.
Which function in Excel will allow the analyst to complete this analysis within two minutes?

  • COUNT

  • AVERAGE

  • MAX

  • SUM

Explanation

Explanation:

The SUM function in Microsoft Excel is the most efficient way to quickly add up a large number of data entries—such as 300 rows of sales data. By using a simple formula like =SUM(A1:A300), the analyst can instantly calculate the total sales volume without manual addition. This function is both fast and accurate, making it ideal for time-sensitive tasks like preparing figures for an upcoming meeting.

Correct Answer:

SUM


5.

Which type of questions can be drafted to get the solution when the response can be quantified?

  • Measurable questions

  • Exploratory questions

  • Open-ended questions

  • Subjective questions

Explanation

Explanation:

Measurable questions are those that lead to responses that can be quantified or expressed numerically. These questions are essential in data analysis because they provide clear, objective data that can be used to evaluate performance, measure outcomes, and identify trends.

Correct Answer:

Measurable questions


6.

Which question considers the time-bound aspect of SMART?

  • What tools will be used to complete the project?

  • Who will manage the project team?

  • Will the resources be available in two months when they are needed?

  • Why is this project important to the company?

Explanation

Explanation:

The time-bound aspect of a SMART goal focuses on setting a clear timeframe or deadline for achieving objectives. Asking “Will the resources be available in two months when they are needed?” directly addresses when the goal or activity should occur, aligning with the time-bound principle.

Correct Answer:

Will the resources be available in two months when they are needed?


7.

Why is data design important in analytics?

  • It makes the data readily available.

  • It limits access to key information

  • It prevents data sharing across teams.

  • It focuses only on storing raw data without structure

Explanation

Explanation:

Data design is important in analytics because it organizes and structures data in a way that makes it readily available and easy to access for analysis. A well-designed data system ensures that data is stored efficiently, relationships between data points are clear, and retrieval is seamless. This organization supports faster analysis, reduces errors, and enhances the reliability of insights. Proper data design also helps maintain consistency and scalability as the volume of data grows.

Correct Answer:

It makes the data readily available


8.

An analyst meets with a project stakeholder to discuss an opportunity to solve a business problem.
What should the analyst consider about the stakeholder?

  • They are primarily responsible for data entry.

  • They are external to the project and not affected by its outcomes.

  • They are investing in the solution

  • They are only interested in the technical aspects of the analysis.

Explanation

Explanation:

When meeting with a stakeholder, the analyst should recognize that stakeholders are investing in the solution, whether through funding, time, or influence. They have a vested interest in the success of the project because it directly impacts their business area or objectives. Understanding this helps the analyst tailor communication, address stakeholder needs effectively, and ensure the solution aligns with their expectations. Viewing the stakeholder as an investor in success also fosters trust and collaborative engagement throughout the project.

Correct Answer:

They are investing in the solution.


9.

What is an example of a leading question?

  • This service is too costly, right?

  • How much do you spend on this service each month?

  • What do you think about the cost of this service?

  • Would you recommend this service to others?

Explanation

Explanation:

A leading question is one that subtly guides or influences the respondent toward a specific answer. The question “This service is too costly, right?” implies that the service is expensive and prompts the respondent to agree, rather than allowing an unbiased response. Leading questions can distort survey or interview results by introducing bias. In data collection and analysis, neutral and open-ended questions are preferred to ensure accurate and objective insights.

Correct Answer:

This service is too costly, right?


10.

Management asked an analyst to provide fourth-quarter sales revenue for the previous year, focusing on two designers to determine which designer produced more sales and in which month. The analyst has all the data in a Microsoft Excel workbook.
Which type of graph will help the analyst determine who produced more sales?

  • Pie chart

  • Bar graph

  • Line chart

  • Scatter plot

Explanation

Explanation:

A bar graph is ideal for comparing discrete categories, such as sales performance between two designers over several months. It allows for clear visual comparison of each designer’s sales in each month of the fourth quarter, making it easy to identify who had higher sales and during which month. Unlike a line chart, which is more suitable for showing trends over time, or a pie chart, which shows proportions of a whole, the bar graph effectively displays side-by-side comparisons of categorical data.

Correct Answer:

Bar graph


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