DA0-001 Communicating Data Insights Practice Test 5 — 15 Questions

Question 1

Refer to the exhibit. What is the best course of action for the data analyst?

Accepted Answer

Investigate source data to understand why 'Region' is missing. Option C is correct because missing data in a critical field like 'Region' indicates a potential data quality issue that requires root cause analysis. The data analyst should investigate the source system to determine whether the missing values result from a collection error, a transformation bug, or a legitimate null, rather than making assumptions by deleting rows or filling defaults. This aligns with the principle of data provenance and ensures that downstream insights are based on accurate, traceable data.

Answer

Change the default value to 'NA'

Answer

Delete rows with missing 'Region'

Answer

Ignore the warning as it is handled

Question 2

A data analyst is preparing a presentation for executive leadership. The analyst wants to highlight the correlation between marketing spend and revenue over the past year. Which visualization type is most appropriate for showing this relationship?

Accepted Answer

Scatter plot. A scatter plot is the most appropriate visualization for showing the relationship between two continuous variables—marketing spend and revenue—because it plots individual data points on an X-Y axis, allowing the analyst to visually assess correlation, trends, and outliers. This directly supports the goal of highlighting correlation, as the pattern of points (e.g., upward slope) indicates the strength and direction of the relationship.

Answer

Pie chart

Answer

Bar chart

Answer

Histogram

Question 3

A business user asks a data analyst to include several charts in a weekly report. The user wants to see the trend of sales over the last 12 months at a glance. Which chart type should the analyst use?

Accepted Answer

Line chart. A line chart is the correct choice because it is specifically designed to display trends over continuous time intervals, such as sales over 12 months. The x-axis represents time (months), and the y-axis represents sales values, allowing the user to quickly see upward, downward, or cyclical patterns. This aligns with the requirement to visualize a trend at a glance, which is a core strength of line charts in data visualization.

Answer

Stacked bar chart

Answer

Treemap

Answer

Pie chart

Question 4

A data analyst needs to communicate findings to a non-technical audience that is concerned with overall performance but not interested in details. Which approach is best?

Accepted Answer

Provide a summary dashboard with key KPIs. A summary dashboard with key KPIs is best because it distills complex data into visual, high-level metrics that non-technical stakeholders can quickly grasp. This approach aligns with the principle of data storytelling, where the focus is on actionable insights rather than technical details. Dashboards using tools like Tableau or Power BI allow for interactive filtering without overwhelming the audience.

Answer

Include complex model outputs

Answer

Share raw data tables

Answer

Use detailed statistical jargon

Question 5

A data analyst is creating a report to compare the performance of different sales regions. The report will be used by regional managers to identify areas needing improvement. Which of the following visualization techniques would be most effective?

Accepted Answer

A bar chart comparing each region's sales. A bar chart is most effective because it allows direct, side-by-side comparison of discrete categories (sales regions) using a common baseline, making it easy for regional managers to quickly identify which regions are underperforming. The vertical bars encode exact values with high perceptual accuracy, supporting the report's goal of highlighting areas needing improvement.

Answer

A line chart showing overall company sales

Answer

A pie chart showing each region's contribution

Answer

A scatter plot of sales vs. expenses

Question 6

During a data presentation, an audience member questions the accuracy of the data shown. Which of the following is the best way for the analyst to respond?

Accepted Answer

Provide documentation of data sources and transformation steps. Providing documentation of data sources and transformation steps directly addresses the audience member's concern about accuracy by demonstrating transparency and traceability. This approach aligns with best practices in data governance, as it allows the audience to verify the data lineage and any ETL processes that may have introduced errors. It also builds trust by showing the analyst has a clear understanding of the data pipeline.

Answer

Change the topic

Answer

Offer to send the raw data later

Answer

Dismiss the question and continue

Question 7

A data analyst needs to create a dashboard that updates automatically every hour. The data source is a large database. Which approach minimizes performance impact?

Accepted Answer

Use incremental refresh only for new or changed data. Option B is correct because incremental refresh queries only new or changed records since the last refresh, drastically reducing data transfer and processing load on the large database. This approach uses change-tracking mechanisms (e.g., timestamps, CDC) to avoid full-table scans, minimizing performance impact while maintaining near-real-time updates.

Answer

Query the entire database each time

Answer

Export the data to Excel and import

Answer

Create a static report monthly

Question 8

A data analyst is tasked with presenting the results of a customer churn analysis to a group of marketing managers. The model identified that customers with low engagement scores are 3 times more likely to churn. The analyst wants to effectively communicate this finding to persuade the managers to focus on engagement. Which of the following is the most compelling way to present this insight?

Accepted Answer

Calculate the potential revenue increase if engagement improves by 10%. Option A is correct because translating the finding into potential revenue impact resonates with managers' business goals. Option B (bar chart) is factual but less persuasive. Option C (scatter plot) is not compelling. Option D (table) is less engaging.

Answer

Show a table with raw churn rates by engagement score

Answer

Use a bar chart comparing churn rates of low vs. high engagement

Answer

Show a scatter plot of engagement score vs. churn

Question 9

A data analyst discovers a data discrepancy in a report that has already been distributed to executives. The discrepancy is due to a known bug that will be fixed next month. What is the most appropriate action?

Accepted Answer

Inform the executives of the error and its impact. Option B is correct because informing executives of the error and its impact maintains transparency and trust. Option A (ignore) is unethical. Option C (send corrected report immediately) may cause confusion without context. Option D (wait) delays communication.

Answer

Send a corrected report immediately with an apology

Answer

Wait for the next scheduled update

Answer

Ignore it since it will be fixed soon

Question 10

An analyst is creating a data story about the decline in customer satisfaction scores. The data shows that satisfaction dropped after a software update. Which narrative structure best helps the audience understand the cause and effect?

Accepted Answer

Begin with the software update event, then show satisfaction before and after. Option B is correct because it follows a chronological cause-and-effect narrative, starting with the software update event and then showing satisfaction scores before and after. This structure directly maps to the audience's need to understand the causal relationship, as it highlights the intervention point and the resulting change in the metric. In data storytelling, this is known as the 'before-and-after' or 'change-over-time' narrative, which is most effective for demonstrating impact.

Answer

Start with the current scores, then show historical trend

Answer

Present all data points without a story

Answer

Use a pie chart of satisfaction categories

Question 11

A data analyst is designing a dashboard for senior executives who need to quickly monitor key business metrics. Which TWO design principles should the analyst follow? (Choose two.)

Accepted Answer

Display only the most important KPIs. Option B is correct because senior executives need to monitor key business metrics at a glance, not be overwhelmed with extraneous data. Displaying only the most important KPIs ensures the dashboard is focused and actionable, aligning with the principle of delivering concise, high-level insights for quick decision-making.

Answer

Include detailed data tables for reference

Answer

Add complex interactive filters

Answer

Use as many colors as possible to make it visually appealing

Question 12

A data analyst is preparing a report to present to a mixed audience of technical and non-technical stakeholders. Which THREE techniques should the analyst use to ensure effective communication? (Choose three.)

Accepted Answer

Tailor the narrative to address different concerns. Option A is correct because tailoring the narrative to address different concerns ensures that both technical and non-technical stakeholders receive relevant insights. For non-technical audiences, the analyst should focus on business impact and high-level trends, while for technical audiences, deeper data nuances can be included. This approach aligns with the DA0-001 domain of Communicating Data Insights, where audience analysis is critical for effective data storytelling.

Answer

Use only one chart type for consistency

Answer

Use technical jargon to demonstrate expertise

Question 13

A data analyst is presenting a complex statistical analysis to a group of data scientists. The audience is highly knowledgeable. Which TWO approaches are most appropriate? (Choose two.)

Accepted Answer

Include technical details and methodology. Option C is correct because data scientists expect rigorous technical depth; including methodology and technical details aligns with their expertise and allows them to evaluate the analysis's validity. In a highly knowledgeable audience, omitting such details would undermine credibility and hinder peer review.

Answer

Avoid mentioning uncertainty to maintain confidence

Answer

Use basic visualizations like pie charts

Answer

Simplify the findings to avoid confusion

Question 14

Refer to the exhibit. The data shows sales by product category for two years. Which product category had the highest percentage increase from 2023 to 2024?

Accepted Answer

Home & Garden. Home & Garden had the highest percentage increase from 2023 to 2024 because its sales grew from $20,000 to $30,000, a 50% increase, which is greater than the percentage increases for Clothing (25%), Books (33.3%), and Electronics (40%). The percentage change is calculated as ((2024 value - 2023 value) / 2023 value) * 100, and Home & Garden yields the highest result.

Answer

Clothing

Answer

Books

Answer

Electronics

Question 15

Refer to the exhibit. A data analyst receives this error when running a data load script. What is the most likely cause?

Accepted Answer

The customer_id 12345 already exists in the table. Option B is correct. The error message explicitly states 'Duplicate entry '12345' for key 'PRIMARY'', meaning a record with customer_id 12345 already exists in the table. Option A (email too long) would give a different error. Option C (null name) would not cause primary key violation. Option D (connection lost) would give a different error.

Answer

The email field is too long

Answer

The database connection is lost

Answer

The name field is null

DA0-001 Communicating Data Insights Practice Test 5 — 15 Questions

Exhibit

DA0-001 Communicating Data Insights Practice Test 5 — 15 Questions

Exhibit