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MYSQL 1Z0-874 Exam Syllabus Topics:

MYSQL MySQL 5.0 Database Administrator Certified Professional Exam, Part II Sample Questions:

1. Which of the following statements are true of compressed tables?

A) They can be uncompressed but some data corruption may occur.
B) They can not be uncompressed.
C) They can be uncompressed.

2. Consider the following:
mysql> EXPLAIN SELECT * FROM City WHERE CountryCode = 'USA'
*************************** 1. row ***************************
id: 1
select_type: SIMPLE table: City
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 4079
Extra: Using where
What does the possible_keys column in this output denote?

A) If it is possible for you to include any indexes in your query.
B) Whether there are any indexes on the table(s) you are querying.
C) If there are any indexes you may be able to use.
D) Whether you are using any indexes in your query.

3. Suppose you have a server whose log files, data directory, and temporary files are distributed on different disks. How would this affect overall performance, compared to a server where all components reside on a single disk?

A) Performance would remain about the same, because the same amount of disk usage would be needed.
B) You would expect a performance gain because the disk related activities would be split more evenly.
C) Performance would drop because the server would have to do extra work to read information off of the different disks.

4. Why should you be selective when granting the SUPER privilege to an account? (Choose two)

A) Because it allows client accounts to takeover other client accounts.
B) Because it allows a client to kill other client connections.
C) Because it allows a client to shutdown the server.
D) Because it allows changing of the server runtime configuration.

5. Which of the following best describes how the binary log might be helpful in query optimization?

A) By checking which queries it logs as slow.
B) By identifying the WHERE clauses in queries for which indexes might be useful.
C) By checking the processor load it records when a query is executed.

Solutions: