Visualization and Reporting →mediumMultiple ChoiceObjective-mapped

DA0-002 Visualization and Reporting Practice Question

Exhibit

Refer to the exhibit.

JSON configuration for a dashboard widget:

{
  "chartType": "line",
  "dataSource": {
    "query": "SELECT date, avg(response_time) FROM logs GROUP BY date ORDER BY date"
  },
  "visualProperties": {
    "xField": "date",
    "yField": "avg(response_time)",
    "aggregation": "none",
    "interpolation": "linear"
  }
}

The exhibit shows a JSON configuration for a line chart that displays average response time over time. However, the chart shows jagged lines with many spikes. Which configuration change would smooth the visualization?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

Change "interpolation" to "monotone"

Setting interpolation to 'monotone' or 'smooth' can reduce jaggedness. The aggregation is already applied in the query, so changing it to 'average' in the widget would double-aggregate. Changing chart type or data source is not necessary.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Change "aggregation" to "average"
Why it's wrong here
Data is already averaged in query; double aggregation would produce incorrect results.
✗
Change the query to include a moving average
Why it's wrong here
That would modify data, but the question asks for configuration change only.
✓
Change "interpolation" to "monotone"
Why this is correct
Monotone interpolation produces a smoother curve through points.
✗
Change chartType to "bar"
Why it's wrong here
Bar chart would show individual values, not smooth trend.

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DA0-002 Visualization and Reporting Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

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