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Normalisation and Structured Query Language

  • 11 subtopics
  • 33 things to know
  • A2 Unit 1

What Normalisation and Structured Query Language covers

Normalisation and Structured Query Language is examined in Unit A2 1, Systems Approaches and Database Concepts — a written examination on a pre-release case study. It covers why data is normalised, un-normalised data and repeating groups, first normal form, second normal form, third normal form, working a full normalisation through, the advantages and limits of normalisation, the principles of SQL, SQL commands for defining and changing data, SQL statements for retrieving data and joining tables and grouping results.

Where it is assessed

A2 Unit 1

Systems Approaches and Database Concepts, examined on a pre-release case study.

Check the CCEA specification ↗

The 11 subtopics

Each one has its own page.

What you need to know

Answer each one before you reveal it.

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Key term

What is wrong with allowing a fixed number of repeats as separate columns?

Key term

How do you choose the key for un-normalised data?

Process

What is the process of reaching first normal form?

Key term

Take an order document holding OrderNo, OrderDate, CustomerNo, CustomerName and repeating lines of ProductCode, Description, UnitPrice and Quantity to first normal form

Key term

Why does the order line table need a composite key?

Key term

Is UnitPrice always dependent on the product alone?

Key term

State the mnemonic for third normal form.

Key term

What anomaly does a transitive dependency cause?

Key term

Why is third normal form usually treated as far enough?

Key term

Normalise to third normal form a hospital appointment card holding appointment number, patient number, patient name, consultant code, consultant name and clinic.

Key term

Normalise to third normal form a training record holding course code, course title, and for each attendee a staff number, staff name and department.

Key term

Why does the same source document sometimes normalise differently in two businesses?

Evaluation

State three disadvantages of normalisation.

Key term

How does normalisation improve data quality?

Key term

Why can a normalised design be slower to query?

Evaluation

Why is it an advantage that an SQL query states what is wanted rather than the method of retrieving it?

Key term

What is a null in SQL, and how does it differ from zero?

Key term

What are privileges in SQL?

Key term

Why is naming the columns preferred to using an asterisk in an application?

Key term

What is the difference between an inner join and a left outer join?

Key term

What is the difference between WHERE and HAVING?

Key term

What is an insertion anomaly?

Key term

What does a CHECK constraint do?

Key term

What is a deletion anomaly?

Key term

Why does second normal form only matter for a composite key?

Numbers

Write the SQL to add a new member.

Key term

Write the SQL to list every column of every row in the Member table.

Key term

What is functional dependence?

Key term

What does un-normalised form mean?

Key term

How is a partial dependency removed?

Numbers

Write the SQL to change a member's surname.

Numbers

Write the SQL to list the surnames of members who joined after the first of January 2026.

Key term

Write the SQL to list each loan with the borrower's surname.

Take Normalisation and Structured Query Language further

The same content, four other ways.

Commonly confused

Pairs that lose marks when they are blurred together.

  • Normalisation vs Denormalisation

    Normalisation: removing duplication so that each fact is held once. Denormalisation: deliberately reintroducing duplication for a measured gain in speed.

  • A view vs A table

    A view: a stored query that produces its rows when it is read. A table: a structure that physically holds its rows.

Questions from this topic

Each one with the model answer underneath.

  1. 1

    What is normalisation?

    Model answer

    Normalisation is a step-by-step process of arranging attributes into tables so that each fact is stored once and every non-key attribute depends on the whole primary key and on nothing else.

  2. 2

    What problem is normalisation solving?

    Model answer

    Normalisation removes the duplication that arises when related facts are held in one flat structure, because duplication lets copies of the same fact disagree once one of them is updated and the others are not.

  3. 3

    What is an update anomaly?

    Model answer

    An update anomaly occurs when a single fact is stored in many rows, so changing it means changing every one. A supplier's address held on each of that supplier's product rows must be corrected in all of them or the data contradicts itself.

  4. 4

    What is an insertion anomaly?

    Model answer

    An insertion anomaly occurs when a fact cannot be recorded because unrelated data is missing. If product details are held only inside order lines, a new product cannot be recorded until somebody orders it.

  5. 5

    What is a deletion anomaly?

    Model answer

    A deletion anomaly occurs when removing a record destroys unrelated information. If a product exists only inside order lines, deleting the last order for it removes every record of the product.

  6. 6

    What is functional dependence?

    Model answer

    An attribute is functionally dependent on another when the value of the second determines the value of the first. A product description is functionally dependent on the product code, because one code always gives the same description.

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A null is the of one.
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Normalisation and Structured Query Language revision questions

What does Normalisation and Structured Query Language cover in CCEA A-Level Software Systems Development?
11 subtopics: why data is normalised, un-normalised data and repeating groups, first normal form, second normal form, third normal form, working a full normalisation through, the advantages and limits of normalisation, the principles of sql, sql commands for defining and changing data, sql statements for retrieving data and joining tables and grouping results. Each one has its own page with questions and model answers.
How is Normalisation and Structured Query Language organised?
By the CCEA CL4 specification, subtopic by subtopic, so it matches the order you are taught it in.

Every question in Normalisation and Structured Query Language, on a schedule.

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