Prepare for your Google Cloud solutions architect interview

Cloud infrastructure and distributed systems cases tailored to Google's approach to global-scale systems, data architecture, and innovation.

Socratify AI

The Interview

What Google is looking for

Architecture Design Interview

GCP & Distributed Systems

01GCP Services & Architecture

02Distributed Systems Design

03Data Architecture & Analytics

04Global-Scale Operations

Behavioral Interview

Leadership & Innovation

01Technical Depth

02Innovation & Creativity

03Cross-team Collaboration

04Communication

Distributed systems mastery//Data infrastructure expertise//Global-scale thinking

Practice Library

Google exercises

Ready to ace your Google Cloud solutions architect interview?

Prepare for your Google Cloud solutions architect interview

Cloud infrastructure and distributed systems cases tailored to Google's approach to global-scale systems, data architecture, and innovation.

Socratify AI

The Interview

What Google is looking for

Architecture Design Interview

GCP & Distributed Systems

01GCP Services & Architecture

02Distributed Systems Design

03Data Architecture & Analytics

04Global-Scale Operations

Behavioral Interview

Leadership & Innovation

01Technical Depth

02Innovation & Creativity

03Cross-team Collaboration

04Communication

Distributed systems mastery//Data infrastructure expertise//Global-scale thinking

How It Works

Master Google Cloud Architecture

Distributed systems and GCP architecture cases evaluated by Google infrastructure engineers. · Click to expand

1Your Solutions Architect Goals

Architecture Design

Practitioner

Trade-Off Analysis

Practitioner

2Solutions Architect Case Prep

Design a global-scale advertising platform on GCP handling 1B+ impressions per day with...

CASE INTERVIEWHard

Google

3Frameworks

Framework

What architectural approach best matches the use case requirements?

Monolithic vs. microservices architecture

Monolithic: Simpler deployment, 2-4 week release cycles, tightly coupled

Microservices: Independent scaling, 1-day release cycles, distributed complexity

Database selection: SQL vs. NoSQL vs. Hybrid

ACID: SQL databases, 10-100ms p99 latency, constrained write throughput

Eventual consistency: NoSQL, <1ms p99 latency, 100K+ writes/sec

How do we handle growth and distributed demands?

Compute scaling strategy and resource allocation

Horizontal scaling: +$5K/mo per 10K users, 15% ops overhead

Vertical scaling: Single-server limit ~100K connections, then degradation

Multi-region redundancy and disaster recovery

Active-active (2+ regions): 99.99% uptime, 3x cost, <100ms latency variance

Active-passive: 99.9% uptime, 1.5x cost, 15-30min failover RTO

How do we manage cost, security, and operational risk?

Cost optimization and cloud spend management

68% of cloud budgets wasted on unused resources

Right-sizing + reserved instances reduce compute costs 40-60%

Security, compliance, and data protection strategy

87% of data breaches via misconfigured cloud storage

Zero-trust architecture reduces lateral movement risk 95%

4Feedback

Architecture Design

Distinctive

Scalability & Performance

Strong

Trade-off Analysis

Meeting Bar

Resilience & Reliability

Strong

Repeat

Practice Library

Google exercises

Design a global-scale advertising platform on GCP handling 1B+ impressions per day with...

CASE INTERVIEWHard

Cloud · System DesignGoogle

Walk me through your approach to designing a data warehouse architecture for a customer...

LEARNHard

Cloud · Data ArchitectureGoogle

Design a real-time streaming pipeline on GCP for processing financial market data with...

LEARNHard

Cloud · Stream ProcessingGoogle

Tell me about a time you had to make a decision with incomplete information in a...

LEARNMedium

Cloud · BehavioralGoogle

How would you architect a system that needs to be cost-efficient while maintaining...

LEARNHard

Cloud · Cost & ReliabilityGoogle