Question 303 of 982
Describe core data conceptseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is CustomerKey. This is the most appropriate distribution column for a hash-distributed table in Azure Synapse because it has high cardinality—meaning many unique values—which ensures data is evenly spread across distributions and avoids data skew, and it is frequently used in joins with dimension tables, a key requirement for hash distribution column selection in Azure Synapse. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your understanding of how to optimize query performance by choosing a column that balances data and supports common join patterns; a common trap is selecting a low-cardinality column like DateKey, which would cause uneven distribution and slow queries. Memory tip: think “High-cardinality join key” to remember that the best distribution column is both unique and used in joins.

DP-900 Describe core data concepts Practice Question

This DP-900 practice question tests your understanding of describe core data concepts. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.

Exhibit

Refer to the exhibit.
{
  "name": "SalesFact",
  "columns": [
    {"name": "OrderDate", "dataType": "datetime"},
    {"name": "SalesAmount", "dataType": "decimal"},
    {"name": "ProductKey", "dataType": "int"},
    {"name": "CustomerKey", "dataType": "int"}
  ]
}

Refer to the exhibit. You are designing a fact table for a data warehouse. The table will store sales transactions with daily granularity. Which column would be most appropriate as the distribution column in a hash-distributed table in Azure Synapse Analytics?

Question 1easymultiple choice
Full question →

Exhibit

Refer to the exhibit.
{
  "name": "SalesFact",
  "columns": [
    {"name": "OrderDate", "dataType": "datetime"},
    {"name": "SalesAmount", "dataType": "decimal"},
    {"name": "ProductKey", "dataType": "int"},
    {"name": "CustomerKey", "dataType": "int"}
  ]
}

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

CustomerKey

CustomerKey (B) is the most appropriate distribution column because it has high cardinality and is frequently used in joins with dimension tables, ensuring data is evenly distributed across distributions in Azure Synapse Analytics. A hash-distributed table requires a column with many unique values to avoid data skew, and CustomerKey is a natural key for sales transactions that meets this requirement.

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.

  • SalesAmount

    Why it's wrong here

    SalesAmount is a measure, not a dimension key; not suitable for distribution.

  • CustomerKey

    Why this is correct

    CustomerKey has high cardinality and is frequently used in joins, making it a good distribution column.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ProductKey

    Why it's wrong here

    ProductKey may also be good, but CustomerKey is typically a better choice for even distribution.

  • OrderDate

    Why it's wrong here

    OrderDate has low cardinality (e.g., daily dates) and can cause data skew.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Microsoft often tests the misconception that any column with high cardinality is suitable for hash distribution, but the trap here is that the column must also be frequently used in joins and evenly distribute data, not just have many unique values.

Detailed technical explanation

How to think about this question

In Azure Synapse Analytics, hash distribution uses a hash function on the distribution column to assign rows to one of 60 distributions. The choice of distribution column directly impacts query performance: if the column has low cardinality or is not used in joins, data can become skewed, causing some distributions to handle far more data than others. For fact tables with daily granularity, CustomerKey is ideal because it balances data evenly and aligns with star-schema join patterns, whereas OrderDate would cause all rows for a single day to land on the same distribution, creating a bottleneck.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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.

Related practice questions

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: CustomerKey — CustomerKey (B) is the most appropriate distribution column because it has high cardinality and is frequently used in joins with dimension tables, ensuring data is evenly distributed across distributions in Azure Synapse Analytics. A hash-distributed table requires a column with many unique values to avoid data skew, and CustomerKey is a natural key for sales transactions that meets this requirement.

What should I do if I get this DP-900 question wrong?

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

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 30, 2026

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