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Worried about time running out? Learn to manage time with our D468 Discovering Data questions.

Free D468 Discovering Data Questions

1.

Which activity regards credibility, integrity, and privacy as the most important considerations?

  • Hosting customer information

  • Creating marketing slogans

  • Designing a company logo

  • Purchasing office equipment

Explanation

Explanation:

Hosting customer information involves managing sensitive and personal data, making credibility, integrity, and privacy critical considerations. Businesses that store or process customer data must ensure its security and confidentiality to maintain trust and comply with data protection laws. Mishandling this information can result in reputational damage, financial penalties, and loss of customer confidence. Therefore, maintaining ethical standards and implementing strong data protection measures are essential when hosting customer information.

Correct Answer:

Hosting customer information


2.

How does the visualization process help to understand the data output?

  • It presents data sets to identify trends and results.

  • It hides complex data to simplify communication.

  • It removes irrelevant data before analysis.

  • It ensures that only numerical data are analyzed.

Explanation

Explanation:

The visualization process transforms complex data into visual formats such as charts, graphs, or dashboards, making it easier to identify trends, patterns, and results. Visuals allow stakeholders to quickly grasp insights that may not be apparent in raw numerical or textual data. Effective visualization bridges the gap between data analysis and decision-making by turning data into an understandable and meaningful story.

Correct Answer:

It presents data sets to identify trends and results.


3.

What is the ultimate goal of data analysis?

  • To extract valuable drivers from the data

  • To collect as much data as possible

  • To create large visualizations

  • To automate all business processes

Explanation

Explanation:

The ultimate goal of data analysis is to extract valuable drivers from the data—meaning to identify patterns, insights, and factors that influence outcomes or decisions. Data analysis transforms raw data into meaningful information that supports evidence-based decision-making. Rather than focusing solely on collection or visualization, the emphasis is on uncovering actionable insights that help an organization understand trends, improve strategies, and achieve its objectives efficiently.

Correct Answer:

To extract valuable drivers from the data


4.

Which type of analysis would effectively capture social media responses?

  • Qualitative analysis

  • Quantitative analysis

  • Predictive analysis

  • Statistical analysis

Explanation

Explanation:

Qualitative analysis focuses on understanding non-numerical data such as opinions, comments, and emotions. When analyzing social media responses, qualitative analysis helps identify trends, sentiments, and themes in users’ feedback, which can be valuable for brand perception and customer experience insights.

Correct Answer:

Qualitative analysis


5.

What do visualization, strategy, problem orientation, correlation, and attention to detail represent?

  • Aspects of analytical thinking

  • Stages of the data life cycle

  • Principles of data ethics

  • Types of data collection methods

Explanation

Explanation:

Visualization, strategy, problem orientation, correlation, and attention to detail are key aspects of analytical thinking. These elements describe how analysts approach complex problems using structured reasoning and data interpretation. Analytical thinking involves identifying patterns, understanding relationships, and drawing meaningful insights to support effective decision-making. By applying these aspects, analysts can transform raw data into valuable information that drives strategic actions and solutions.

Correct Answer:

Aspects of analytical thinking


6.

During a meeting between the analyst and the customer, all completed milestones are being discussed. However, the customer keeps relating milestones to the nesting tasks.
How should the analyst explain milestones to the customer?

  • It is an activity on a project's timeline that could include sub activities used to track a project's progress.

  • It is a detailed checklist of all tasks in the project plan.

  • It represents the smallest measurable task within the project.

  • It is a tool used exclusively to calculate project costs.

Explanation

Explanation:

A milestone represents a significant event or achievement in a project’s timeline. It marks key progress points—such as the completion of major deliverables or phases—but doesn’t represent every individual task. While milestones may encompass several sub-activities, they primarily serve as indicators to track how close the project is to meeting its major goals. This distinction helps the customer understand that milestones summarize progress rather than outline every step.

Correct Answer:

It is an activity on a project's timeline that could include sub activities used to track a project's progress.


7.

Why does some valuable data stay meaningless?

  • No interpretation surrounds the data.

  • The data is stored in multiple files

  • The data is too large to process.

  • The data is collected from too many sources.

Explanation

Explanation:

Data on its own has limited value until it is interpreted within a meaningful context. Without analysis or explanation, even valuable data remains just numbers or text without actionable insight. Interpretation gives data relevance by connecting it to a specific problem, question, or goal.

Correct Answer:

No interpretation surrounds the data


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 the purpose of the first step of the data analytics life cycle called SAS?

  • To understand the business challenges

  • To clean and prepare data

  • To visualize and report results

  • To collect raw data

Explanation

Explanation:

The first step of the SAS (Statistical Analysis System) data analytics life cycle focuses on understanding the business challenges before diving into data analysis. This step ensures analysts grasp the goals, problems, and objectives that the analysis is meant to address. Without this foundational understanding, subsequent steps like data collection, preparation, and analysis might not align with business needs. By identifying the key questions and desired outcomes early on, analysts can tailor their methods and tools effectively to produce relevant insights.

Correct Answer:

To understand the business challenges


10.

Which activity takes place during the data preparation phase?

  • Insights are shared with stakeholders.

  • Data visualizations are created for presentations.

  • Data is collected and the information is stored.

  • Predictive models are built using machine learning

Explanation

Explanation:

During the data preparation phase, analysts focus on collecting and storing information in an organized, usable format. This step involves gathering raw data from various sources, cleaning it to remove errors or inconsistencies, and structuring it for efficient analysis. Proper data preparation ensures accuracy and consistency, forming a solid foundation for subsequent stages such as processing, analyzing, and sharing results. Without this step, the quality and reliability of insights would be compromised.

Correct Answer:

Data is collected and the information is stored.


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