Question 294 of 500

Quick Answer

Memorystore is the correct choice for storing session state in a cloud-native application because it provides an in-memory data store with sub-millisecond latency, which is essential for the high-throughput, low-latency reads and writes that session management demands. Session state is inherently ephemeral, key-value data, and Memorystore’s Redis implementation excels here with built-in TTL for automatic session expiration and optional persistence for durability, allowing your application tier to remain stateless while offloading state to a managed caching layer. On the Google Professional Cloud Developer exam, this scenario tests your understanding of cloud-native design patterns—specifically that stateless compute should delegate stateful data to purpose-built services. A common trap is choosing Cloud SQL or Firestore for session data, but those are optimized for relational or document storage, not the rapid, transient key-value access that sessions require. Remember the mnemonic: “Session State = Redis Cache” to instantly recall that Memorystore is the go-to for ephemeral, low-latency session storage in cloud-native architectures.

PCD Practice Question: Designing highly scalable, available, and reliable cloud-native applications

This PCD practice question tests your understanding of designing highly scalable, available, and reliable cloud-native applications. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A developer needs to store session state for a user in a cloud-native application. Which storage solution is most appropriate?

Question 1easymultiple choice
Read the full NAT/PAT explanation →

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Memorystore

Memorystore (Redis) is the most appropriate solution for storing session state in a cloud-native application because it provides an in-memory data store with sub-millisecond latency, which is critical for fast session reads and writes. Session state is ephemeral, key-value data that requires high throughput and low latency, and Memorystore supports features like TTL (time-to-live) for automatic session expiration and persistence options for durability. This aligns with the cloud-native principle of stateless application tiers offloading state to a managed caching layer.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Cloud SQL

    Why it's wrong here

    Cloud SQL is relational and slower for high-throughput session operations.

  • Memorystore

    Why this is correct

    Memorystore provides fast, in-memory caching for session data.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Cloud Storage

    Why it's wrong here

    Cloud Storage is for objects, not low-latency session state.

  • Bigtable

    Why it's wrong here

    Bigtable is for large analytical workloads, not session state.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the misconception that any managed database (like Cloud SQL or Bigtable) can handle session state, but the trap is that session state requires in-memory speed and automatic expiration, which only a caching solution like Memorystore provides, not disk-based or analytical databases.

Detailed technical explanation

How to think about this question

Memorystore for Redis uses the Redis in-memory data structure server, which stores session data as key-value pairs with optional TTL (e.g., EXPIRE command) to automatically evict stale sessions. Under the hood, Redis uses a single-threaded event loop for atomic operations, ensuring consistent performance even under high concurrency. In a real-world scenario, a cloud-native app can use Spring Session with Redis to externalize session state, allowing the application tier to scale horizontally without sticky sessions or session replication overhead.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this PCD question test?

Designing highly scalable, available, and reliable cloud-native applications — This question tests Designing highly scalable, available, and reliable cloud-native applications — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Memorystore — Memorystore (Redis) is the most appropriate solution for storing session state in a cloud-native application because it provides an in-memory data store with sub-millisecond latency, which is critical for fast session reads and writes. Session state is ephemeral, key-value data that requires high throughput and low latency, and Memorystore supports features like TTL (time-to-live) for automatic session expiration and persistence options for durability. This aligns with the cloud-native principle of stateless application tiers offloading state to a managed caching layer.

What should I do if I get this PCD question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 25, 2026

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This PCD practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PCD exam.