Libay, Diane Joy G.
BSIT 3-5
Database Administration
SEATWORK 2 MIDTERM
1. How does a database administrator ensure database quality?
→ Database administrators ensure database quality by ensuring the availability, security, and
quality of a database. There are several ways, such as establishing data integrity constraints to
maintain the quality of the data. Using normalization to eliminate data redundancy and improve
data quality Data validation rules to ensure that data entered into the database conforms to
predefined standards (maintain, operate, etc.)
2. Why must a database administrator have a good knowledge of SQL?
→ Given that SQL is the most widespread database language and the primary medium for
properly managing databases. If the database administrator is unfamiliar with SQL, it will be
tough for him or her to communicate with all of the data. A database administrator who
understands SQL is also more suited to do these responsibilities successfully and ensure the
database system's seamless operation.
3. Give an example of multiple definitions of the same data entity in the database.
→ A major corporation may have numerous divisions or locations, some of which may be in
different cities. Divisions can be classed as a multivalued attribute of the enterprise entity in this
situation.
4. In your own words, explain how a database administrator can prevent excessive database
downtime.
→ A database administrator (DBA) can avoid prolonged database outages by combining
preventive measures and best practices. A database administrator (DBA) is in charge of
preventing excessive database downtime through the use of preventative measures such as
clustering, replication, routine maintenance, and real-time monitoring.
5. Each of the results of ineffective data administration above can be classified in any of the three
most important aspects of database handling, security, availability, and quality. Identify which
aspect each result can be classified.
1. Multiple definitions of the same data entity and /or inconsistent representations of the same
data elements in databases. QUALITY
2. Missing key data elements whose loss eliminates the value of existing data. AVAILABILITY
Libay, Diane Joy G.
BSIT 3-5
Database Administration
3. Low data quality levels due to inappropriate sources of data or timing of data transfers from
one system to another. QUALITY
4. Inadequate familiarity with existing data, including awareness of data location.
AVAILABILITY
5. Poor and inconsistent query response time, excessive database downtime. QUALITY
6. Either stringent or inadequate controls to ensure agreed upon data privacy and security.
SECURITY
7. Lack of access to data due to damaged, sabotaged, or stolen files or due to hardware failures.
SECURITY
8. Embarrassment to the organization because of unauthorized access of data. SECURITY