Oracle Database Administration from Zero to Hero - Database Memory Concepts (Part 2 of 2)

Oracle Database Administration from Zero to Hero - Database Memory Concepts (Part 2 of 2)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Quizizz Content

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This video tutorial covers the key memory areas in Oracle databases, including the shared pool, result cache, UGA, large pool, and redo log buffer. It explains how these areas function and their importance in database operations. The tutorial also discusses the impact of different application types, such as OLTP and DSS, on these memory areas, highlighting the need for performance tuning based on application characteristics.

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary function of the shared pool in Oracle databases?

To handle network connections

To store information shared by multiple sessions

To manage user sessions

To store user data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which component of the shared pool contains shared SQL and PL/SQL areas?

User global area

Data dictionary cache

Library cache

Result cache

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the large pool in Oracle databases?

To handle user sessions

To manage network connections

To reduce the burden on the shared pool

To store user data

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Where is the UGA located when using a shared server session?

In the large pool

In the buffer cache

In the shared pool

In the redo log buffer

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What triggers the log writer to write redo entries to the disk?

When a user logs in

Every five seconds

When a transaction is committed

When the database is idle

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How is the redo log buffer structured?

As a linear buffer

As a circular buffer

As a hierarchical buffer

As a random access buffer

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a characteristic of OLTP applications?

High number of users

Large data retrievals

Frequent batch processing

Low memory usage

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