Developing Solutions for Microsoft Azure (AZ-204) Practice Exam

Disable ads (and more) with a membership for a one time $2.99 payment

Developing Solutions for Microsoft Azure Exam. Prepare with flashcards and multiple choice questions, get hints and explanations for each question. Ace your test prep!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.


What does the "time to live" (TTL) in Redis represent?

  1. The duration a key can be invalidated

  2. The time period after which a key can be persisted indefinitely

  3. The expiration time resolution for a key

  4. The maximum time allowed for data processing

The correct answer is: The expiration time resolution for a key

The concept of "time to live" (TTL) in Redis is essential for managing the lifespan of cache entries and data stored in the database. It specifically refers to the duration for which a key remains valid or active before it is automatically invalidated or deleted. When a TTL is set for a key, Redis keeps track of this expiration time, and once the specified duration elapses, the key is no longer accessible. The idea that TTL represents the expiration time resolution for a key aligns well with its actual function. It dictates how long a key will exist in memory before it is removed, making it crucial for performance optimization and memory management in situations where stale data could be detrimental. By specifying a TTL, developers can ensure that data in Redis does not persist longer than necessary. In contrast, the other options either misinterpret TTL's purpose or address unrelated concepts. The first option incorrectly implies that TTL is about invalidation rather than the duration before data expires. The second option suggests that keys can persist indefinitely after the TTL, which contradicts the core principle of TTL leading to expiration. The fourth option regarding maximum time allowed for data processing does not apply to TTL, as it pertains specifically to the lifespan of keys, not processing times. Understanding TTL is critical