Question 160 of 509
Mining and Acquiring DatamediumMultiple SelectObjective-mapped

Quick Answer

The correct answer is to convert the integer CustomerID to a string with leading zeros to match the second dataset. This step is essential because data type conversion for merging datasets requires identical data types on the join key; an integer cannot directly match a string, and converting the integer preserves the semantically significant leading zeros that would otherwise be lost. On the CompTIA Data+ DA0-001 exam, this scenario tests your understanding of data type compatibility and the importance of format alignment during integration—a common trap is assuming numeric fields can always be joined directly without conversion. Remember the memory tip: "Zeros matter in strings, not in numbers"—leading zeros are metadata that define a code, not a quantity, so always convert to string before merging.

DA0-001 Mining and Acquiring Data Practice Question

This DA0-001 practice question tests your understanding of mining and acquiring data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A data analyst is merging two datasets from different departments. The analyst notices that the 'CustomerID' field in the first dataset is stored as an integer, while in the second dataset it is stored as a string with leading zeros. Which TWO steps should the analyst take to ensure successful data integration?

Clue words in this question

Noticing these words before you look at the options changes how you read each choice.

  • Clue: "first"

    Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

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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

Use a left join and treat the CustomerID as a string after conversion.

Option C is correct because converting the integer CustomerID to a string ensures both datasets have a compatible data type for the join. This approach preserves the leading zeros in the second dataset, which are semantically significant (e.g., '00123' vs. 123). A left join is appropriate to retain all records from the primary dataset while matching on the converted key.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

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

  • Perform the merge directly without transformation since databases handle type conversions automatically.

    Why it's wrong here

    Automatic conversion may not preserve leading zeros and could cause errors.

  • Strip all non-numeric characters from the string CustomerID before joining.

    Why it's wrong here

    This could alter IDs that contain letters or symbols.

  • Use a left join and treat the CustomerID as a string after conversion.

    Why this is correct

    A left join requires matching keys; converting to string ensures compatibility.

    Clue confirmation

    The clue word "first" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Convert the string CustomerID to an integer by removing leading zeros.

    Why it's wrong here

    This would lose the leading zeros, potentially causing mismatches.

  • Convert the integer CustomerID to a string with leading zeros to match the format in the second dataset.

    Why this is correct

    This ensures both CustomerID fields have the same data type and format.

    Clue confirmation

    The clue word "first" in the question point toward this answer.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates assume implicit type conversion will handle the join correctly, but they overlook that leading zeros are lost during conversion, causing silent data loss or incorrect matches.

Detailed technical explanation

How to think about this question

Under the hood, when joining on mismatched data types, most SQL engines perform implicit conversion based on data type precedence (e.g., integer has higher precedence than string), which would convert the string to an integer and drop leading zeros. In real-world scenarios, CustomerID fields often include leading zeros as part of a fixed-length format (e.g., ERP systems), and converting both sides to a common string type ensures exact character-by-character matching. This approach also avoids issues with locale-specific numeric formatting or non-numeric characters that might appear in the string field.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DA0-001 question test?

Mining and Acquiring Data — This question tests Mining and Acquiring Data — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Use a left join and treat the CustomerID as a string after conversion. — Option C is correct because converting the integer CustomerID to a string ensures both datasets have a compatible data type for the join. This approach preserves the leading zeros in the second dataset, which are semantically significant (e.g., '00123' vs. 123). A left join is appropriate to retain all records from the primary dataset while matching on the converted key.

What should I do if I get this DA0-001 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

Are there clue words in this question I should notice?

Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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This DA0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-001 exam.