CompTIA DY0-001 Exam With Confidence Using Practice Dumps

→ Line plots are ideal for visualizing data trends over continuous time. In this case, plotting the total daily measurements across a two-year period is a time series task, and a line plot shows progression and pattern over time clearly.

Why the other options are incorrect:

A: Scatter plots are better for relationship exploration, not time trends.

C: Histograms display distribution — not suitable for continuous time trends.

D: Box plots show spread and outliers — not temporal behavior.

Official References:

CompTIA DataX (DY0-001) Study Guide – Section 1.2:“Use line plots for visualizing temporal trends in time-series data.”

Time Series Visualization Guide, Chapter 2:“Line plots are effective for showing cumulative or aggregated values over time.”

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→ A LEFT JOIN ensures all rows from Table 1 (Top Movies) are preserved, even if there’s no matching actor data in Table 2. This matches the requirement to show all movies, enriched with actor information when available.

Why the other options are incorrect:

A: INNER JOIN would exclude movies without matching actor entries.

B: UNION combines distinct rows — not appropriate for matching columns between two tables.

C: INTERSECT shows only common movies — excludes unmatched top movies.

Official References:

CompTIA DataX (DY0-001) Study Guide – Section 5.2:“LEFT JOINs are used when all records from one table (primary) must be retained, even if there are no matching rows in the secondary table.”

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→ A CROSS JOIN returns the Cartesian product of the two tables — meaning every row from the first table is paired with every row from the second table. If Table A has m rows and Table B has n rows, a CROSS JOIN will return m × n rows, making it the largest possible result set of all JOIN types.

Why the other options are incorrect:

A & B: RIGHT JOIN and LEFT JOIN return matched records plus unmatched rows from one side — but not all possible combinations.

D: INNER JOIN returns only matched rows between tables, typically producing fewer records than a CROSS JOIN.

Official References:

CompTIA DataX (DY0-001) Official Study Guide – Section 5.2:“CROSS JOINs generate the Cartesian product of two datasets and should be used carefully due to the exponential growth in the number of records.”

SQL for Data Scientists, Chapter 3:“CROSS JOINs can produce very large datasets, often unintentionally, due to their non-restrictive matching logic.”

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