D468 Discovering Data
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Free D468 Discovering Data Questions
A client is worried about long wait lines at their retail store.
Which question would be effective for a better understanding of the problem?
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Which hours have the most customer visits?
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Are the customers unhappy with product quality?
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How much revenue did the store make last year?
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What is the company’s overall marketing strategy?
Explanation
Explanation:
The most effective way to understand the issue of long wait lines is to ask, “Which hours have the most customer visits?” This open-ended, data-driven question helps the analyst identify peak hours when the store experiences the highest customer traffic. By understanding these time patterns, the analyst can recommend operational improvements such as staffing adjustments, process streamlining, or queue management strategies to reduce waiting times. This targeted question directly addresses the client’s concern.
Correct Answer:
Which hours have the most customer visits?
A company has experienced a sharp decline in sales due to product recalls. The vice president of operations is interested in determining which supplier may have provided the part that caused the product recall but is busy and unable to serve as the analyst's direct contact.
Which best practice should the analyst apply to manage communication?
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Wait for the vice president to reach out when available
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Send progress emails only at the end of the project
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Exclude the vice president from project updates
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Update the project manager regularly
Explanation
Explanation:
In this situation, the best communication practice is to update the project manager regularly. Since the vice president is unavailable, maintaining regular communication with the project manager ensures that information flows smoothly within the leadership chain. This approach keeps key stakeholders informed, prevents project delays, and allows the vice president to stay indirectly updated through trusted internal channels. Regular updates also demonstrate accountability and professionalism from the analyst’s side.
Correct Answer:
Update the project manager regularly
What is one of the five key aspects of analytical thinking?
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Curiosity
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Strategy
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Data visualization
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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
An analyst meets with a project stakeholder to discuss an opportunity to solve a business problem.
What should the analyst consider about the stakeholder?
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They are primarily responsible for data entry.
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They are external to the project and not affected by its outcomes.
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They are investing in the solution
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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.
An analyst has been assigned to serve as the project manager for a new project team.
What will the analyst's role entail?
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Documenting and archiving
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Planning and executing
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Researching and designing
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Observing and reporting
Explanation
Explanation:
When an analyst assumes the role of a project manager, their primary responsibilities shift toward planning and executing project activities. This includes defining project goals, setting timelines, allocating resources, and ensuring that tasks are completed efficiently and effectively. The project manager oversees the workflow, communicates with stakeholders, and ensures the team remains aligned with the project objectives. Planning and execution are critical because they directly impact project success and delivery outcomes.
Correct Answer:
Planning and executing
An analyst is trying to identify the number of unused hospital beds so that space can be cleared for the purchase of ventilators by the end of the month.
The analyst accesses data collected from the purchasing team that identifies the number of beds in inventory and data from the operations manager that specifies the number of beds actually being used.
How does the analyst use data analysis tools to manage the challenges of big data?
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They use the filter function to identify data from useful categories
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They manually count each data entry for verification
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They delete irrelevant spreadsheets permanently
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They merge all data without reviewing its accuracy
Explanation
Explanation:
In this scenario, the analyst uses the filter function to narrow down large datasets and focus only on relevant information—such as identifying the unused hospital beds. Filtering is a key data analysis technique that helps manage big data by isolating specific categories or values that meet certain criteria. This process simplifies analysis, saves time, and ensures that decisions are based on accurate and actionable subsets of data rather than overwhelming volumes of raw information.
Correct Answer:
They use the filter function to identify data from useful categories.
An analyst is working with a relatively small data set that is ideal for spreadsheet analysis. Which two tools does the analyst have the option of working with?
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Microsoft Excel and Google Sheets
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SQL and Python
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Power BI and Tableau
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R and SAS
Explanation
Explanation:
For small data sets, spreadsheet tools like Microsoft Excel and Google Sheets are practical and efficient. They allow analysts to easily input, organize, and manipulate data using built-in functions, formulas, and visualization tools. Both tools are user-friendly, require minimal setup, and are suitable for smaller-scale analyses where advanced data processing capabilities are not necessary. In contrast, tools like SQL, Python, or Power BI are more appropriate for larger, complex datasets or when automation and scalability are required.
Correct Answer:
Microsoft Excel and Google Sheets
An analyst has logged all the sales data for the year in a Microsoft Excel workbook, with one column for each month.
Which type of data is the analyst likely managing?
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Big data
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Small data
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Unstructured data
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Streaming data
Explanation
Explanation:
When an analyst works with a dataset like yearly sales recorded in a spreadsheet with columns for each month, it is considered small data. Small data is manageable using standard tools like Microsoft Excel and does not require specialized processing for storage or analysis. It is structured, easy to handle, and suitable for day-to-day business analytics tasks.
Correct Answer:
Small data
How should an analyst communicate an unexpected project roadblock with team members?
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Wait until the project ends to mention it
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Identify the problem and its effect on a timeline
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Ignore it and continue with the current plan
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Assign the issue to another department without discussion
Explanation
Explanation:
When an unexpected project roadblock occurs, the analyst should identify the issue clearly and communicate its potential effect on the project timeline. This transparent approach ensures the team can assess risks, plan adjustments, and allocate resources efficiently. Early communication also demonstrates accountability and helps maintain trust among stakeholders. By addressing the issue promptly, the team can collaboratively find solutions and minimize project delays.
Correct Answer:
Identify the problem and its effect on a timeline
How does working with data in Microsoft Excel help with structured thinking?
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By automating all business decisions
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By replacing the need for critical thinking
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By ignoring unnecessary data
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By creating organization
Explanation
Explanation:
Working with data in Excel allows analysts to organize, sort, and categorize information, which supports structured thinking. By arranging data logically and clearly, analysts can identify patterns, draw insights, and make reasoned decisions systematically. Structured organization helps streamline the analytical process and improves clarity in problem-solving.
Correct Answer:
By creating organization
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