Question 670 of 966
Model the datahardMultiple ChoiceObjective-mapped

Quick Answer

The answer is that the relationship will fail because the data types are incompatible. In Power BI, every relationship requires the key columns on both sides to share the exact same data type—here, Sales.ProductID is int64 while Product.ProductID is string, so the engine cannot match the values. This scenario directly tests your understanding of the “relationship fails data type mismatch” concept, a common trap on the Microsoft Power BI Data Analyst PL-300 exam where candidates assume matching column names are sufficient. The exam often hides this mismatch in JSON model definitions or Power Query steps, so always inspect the data type icons in the Model view before linking tables. A quick memory tip: “Names can match, but types must latch”—if the data types don’t align, no relationship can form, regardless of cardinality or cross-filter direction.

PL-300 Model the data Practice Question

This PL-300 practice question tests your understanding of model the data. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.

```
{
  "tables": [
    {
      "name": "Sales",
      "columns": [
        {
          "name": "OrderDate",
          "dataType": "dateTime"
        },
        {
          "name": "ProductID",
          "dataType": "int64"
        },
        {
          "name": "Quantity",
          "dataType": "int64"
        },
        {
          "name": "Amount",
          "dataType": "double"
        }
      ]
    },
    {
      "name": "Product",
      "columns": [
        {
          "name": "ProductID",
          "dataType": "int64"
        },
        {
          "name": "ProductName",
          "dataType": "string"
        }
      ]
    }
  ],
  "relationships": [
    {
      "fromTable": "Sales",
      "fromColumn": "ProductID",
      "toTable": "Product",
      "toColumn": "ProductID"
    }
  ]
}
```

You are reviewing a Power BI model definition in JSON. The Sales table contains a ProductID column but the Product table does not have a ProductID column; instead it has a ProductID column with dataType string. What issue will occur when you try to create a relationship?

Question 1hardmultiple choice
Full question →

Exhibit

Refer to the exhibit.

```
{
  "tables": [
    {
      "name": "Sales",
      "columns": [
        {
          "name": "OrderDate",
          "dataType": "dateTime"
        },
        {
          "name": "ProductID",
          "dataType": "int64"
        },
        {
          "name": "Quantity",
          "dataType": "int64"
        },
        {
          "name": "Amount",
          "dataType": "double"
        }
      ]
    },
    {
      "name": "Product",
      "columns": [
        {
          "name": "ProductID",
          "dataType": "int64"
        },
        {
          "name": "ProductName",
          "dataType": "string"
        }
      ]
    }
  ],
  "relationships": [
    {
      "fromTable": "Sales",
      "fromColumn": "ProductID",
      "toTable": "Product",
      "toColumn": "ProductID"
    }
  ]
}
```

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

The relationship will fail because the data types are incompatible

Option C is correct because the data types do not match: Sales.ProductID is int64, while Product.ProductID is string. Power BI relationships require matching data types. Option A is wrong because the column names match, so no rename is needed. Option B is wrong because many-to-one is allowed, but the data type mismatch is the problem. Option D is wrong because the relationship direction is not the primary issue.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Answer analysis

Option-by-option breakdown

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

  • The relationship will fail because the data types are incompatible

    Why this is correct

    Relationships require matching data types between the columns.

    Related concept

    Static NAT maps one inside address to one outside address.

  • The relationship will fail because the column names must be different

    Why it's wrong here

    Column names can match; it is not a requirement for relationships.

  • The relationship will create a cross filter direction of single

    Why it's wrong here

    The relationship will not be created at all due to the type mismatch.

  • The relationship will work but be many-to-many due to different data types

    Why it's wrong here

    Many-to-many is not automatically created; the relationship will fail due to type mismatch.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

  • Static NAT maps one inside address to one outside address.
  • PAT allows many inside hosts to share one public address using ports.
  • Inside local and inside global describe the private and translated addresses.
  • NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

  • Identify inside and outside interfaces first.
  • Check whether the scenario needs static NAT, dynamic NAT or PAT.
  • Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PL-300 NAT questions on configuration and troubleshooting.

Related practice questions

Related PL-300 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

Practice this exam

Start a free PL-300 practice session

Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.

FAQ

Questions learners often ask

What does this PL-300 question test?

Model the data — This question tests Model the data — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: The relationship will fail because the data types are incompatible — Option C is correct because the data types do not match: Sales.ProductID is int64, while Product.ProductID is string. Power BI relationships require matching data types. Option A is wrong because the column names match, so no rename is needed. Option B is wrong because many-to-one is allowed, but the data type mismatch is the problem. Option D is wrong because the relationship direction is not the primary issue.

What should I do if I get this PL-300 question wrong?

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PL-300 NAT questions on configuration and troubleshooting.

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

About these practice questions

Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

Last reviewed: Jun 21, 2026

Question Discussion

Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.

Loading comments…

Sign in to join the discussion.

This PL-300 practice question is part of Courseiva's free Microsoft 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 PL-300 exam.