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Quiz Data-Management-Foundations - Accurate WGU Data Management–Foundations Exam Test Valid

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WGU Data Management – Foundations Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
Which property of an entity can become a column in a table?

A. Attribute
B. Modality
C. Non-null values
D. Uniqueness

Answer: A

Explanation:
Indatabase design,attributesof an entity becomecolumnsin a relational table.
Example Usage:
For anEmployee entity, attributes might include:

CREATE TABLE Employees (
EmployeeID INT PRIMARY KEY,
Name VARCHAR(50),
Salary DECIMAL(10,2),
DepartmentID INT
);
* Eachattribute(e.g., Name, Salary) becomes acolumnin the table.
Why Other Options Are Incorrect:
* Option A (Modality) (Incorrect):Describesoptional vs. mandatoryrelationships, not table structure.
* Option B (Uniqueness) (Incorrect):Ensuresdistinct valuesbutis not a column property.
* Option D (Non-null values) (Incorrect):Ensures thatcolumns must contain databut doesnot define attributes.
Thus, the correct answer isAttribute, as attributes of entities becometable columns.

NEW QUESTION # 48
What is the role of the transaction manager within the database system architecture?

A. The transaction manager translates the query processor instructions into filesystem commands and uses an index to quickly locate the requested data.
B. The transaction manager is composed of a query processor, storage manager, transaction manager, log, and catalog.
C. The transaction manager logs insert, update, and delete queries, and the result is sent back to the application.
D. The transaction manager uses information from the catalog to perform query optimization.

Answer: C

Explanation:
ATransaction ManagerensuresACID (Atomicity, Consistency, Isolation, Durability)properties in database transactions. It manages concurrent transactions, ensuring no conflicts occur and logs modifications to support recovery mechanisms.
* Option A (Incorrect):Query optimization is managed by thequery processor, not the transaction manager.
* Option B (Incorrect):The transaction manager is a component of the database architecture but is not composed of the entire system (query processor, storage manager, etc.).
* Option C (Correct):The transaction manager logs transactions like INSERT, UPDATE, and DELETE, ensuring consistency and recoverability.
* Option D (Incorrect):Thestorage manageris responsible for translating queries into filesystem commands.

NEW QUESTION # 49
Which term refers to a path from a top-level block to a bottom-level block?

A. Branch
B. Crow's foot
C. Fan-out
D. Sparse index

Answer: A

Explanation:
In database indexing, abranchrefers to thepath from the top-level block (root node) to a bottom-level block (leaf node)in aB-Tree or B+ Tree index structure.
Example Usage in Indexing:
* AB-Tree indexorganizes data hierarchically, withbranches leading to different parts of the tree.
* When searching for a record, thequery follows a branchfrom theroot node down to the correct leaf node.
Why Other Options Are Incorrect:
* Option A (Fan-out) (Incorrect):Refers tohow many children a node has, not the path.
* Option B (Crow's foot) (Incorrect):Anotation used in ER diagrams, not indexing.
* Option D (Sparse index) (Incorrect):A type of indexstoring only some entries, not the path itself.
Thus, the correct answer isBranch, as it defines thepath from top to bottom in a database index.

NEW QUESTION # 50
Which keyword can be used to combine two results into one table?

A. MERGE
B. INTEGRATE
C. CONSOLIDATE
D. UNION

Answer: D

Explanation:
TheUNIONkeyword in SQL is used tocombine the resultsof two or more SELECT queries into asingle result setwhile removing duplicate rows.
Example:
sql
SELECT Name FROM Employees
UNION
SELECT Name FROM Managers;
* Option A (Correct):UNION combines results from multiple queries into one set,removing duplicates.
* Option B (Incorrect):MERGE is not a valid SQL keyword for combining result sets (it is used insome database systems for data merging).
* Option C (Incorrect):INTEGRATE is not a SQL keyword.
* Option D (Incorrect):CONSOLIDATE is not an SQL keyword.

NEW QUESTION # 51
Which operation finds an entry containing a search value by repeatedly splitting the index in two?

A. Table scan
B. Index scan
C. Fan-out
D. Binary search

Answer: D

Explanation:
Binary searchis an algorithm that finds a search value byrepeatedly dividing the search space into two halves. It is commonly used inindexed searches.
Example Usage in Databases:
* B-Trees and B+ Trees(used in database indexing) applybinary searchto navigate the index efficiently.
* If searching for ID = 50 in asorted list of IDs, binary search:
* Splits the list into two halves.
* Checks the middle value.
* Eliminates half of the dataset.
* Repeats until the value is found.
Why Other Options Are Incorrect:
* Option A (Table scan) (Incorrect):Readsevery row,much slowerthan binary search.
* Option C (Index scan) (Incorrect):Uses indexes but does not necessarily apply binary search.
* Option D (Fan-out) (Incorrect):Describesbranching in B-Trees, not searching.
Thus, the correct answer isBinary search, as it repeatedlysplits the indexin two.

NEW QUESTION # 52
......

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