Understanding the GCP's function in the modern tech world

Google Cloud Platform (GCP) has become an integral part of the modern technology landscape. Businesses leverage GCP for its scalability, reliability, and innovative services.

GCP provides organizations with computing, storage, networking, big data, machine learning, and other cloud computing services. Because of this, businesses can concentrate on their core operations rather than on maintaining their infrastructure. Google Cloud interview questions test your expertise in deployment, management, optimization, and troubleshooting on the platform.

Some key advantages of Google Cloud Platform:

  • Access to Google's reliable and fast global network of data centers
  • Capability to adjust the amount of resources available in response to changes in demand
  • Pay only for what you use with no long-term commitments
  • Leverage advanced analytics, AI, and machine learning services
  • Integrated suite of management and deployment tools
  • Regular updates and new features added by Google

With the exponential growth of data and the need for rapid innovation, GCP has become the cloud platform of choice for many organizations. Its continued evolution promises to shape the future of cloud computing. Brush up on computing, storage, databases, networking, and other core services to tackle GCP interview questions and answer them confidently.

Why Employers Look for Strong GCP Knowledge

Given GCP's rising prominence, employers actively seek candidates with expertise in the platform. Review big data services like BigQuery, Dataflow, Dataproc, and data warehousing to prepare for GCP data engineer interview questions. Here are some key reasons why Google Cloud skills are highly valued:

Demand for Cloud Engineering Roles

Global Knowledge's 2021 IT Skills and Salary Report states that cloud computing skills are in high demand globally. Of these, Google Cloud Platform skills see significant demand. With more companies adopting GCP, hiring managers look for engineers well-versed in computing, storage, and networking on the platform.

Migration to the Cloud

Many enterprises are migrating their technology infrastructure and applications to the cloud. GCP skills allow engineers to facilitate this transition smoothly and leverage the benefits of Google's cloud. Engineers skilled in migration techniques like lift-and-shift, re-architecting, and rebuilding can provide significant value.

Building New Cloud-Native Apps

Companies are increasingly building new apps natively on the cloud. GCP skills empower engineers to develop performant and robust cloud-based applications. Knowledge of microservices, containers, service meshes, and other paradigms allows for building apps that maximize cloud benefits.

Cost and Operational Efficiencies

GCP expertise helps organizations optimize their cloud spend and achieve operational efficiency. Engineers proficient in services like Compute Engine, App Engine, and Kubernetes can effectively run cost-optimized and agile cloud environments.

Enhanced Career Prospects

Given the accelerating adoption of Google Cloud, engineers with GCP skills enjoy strong demand and career prospects. Investing in GCP training and certifications allows professionals to stay relevant and access new opportunities.

GCP Interview Questions and Answers

Let's look at some common GCP interview questions and how best to approach them:

Q: What is Google Cloud Platform (GCP)?

GCP is Google's public cloud platform for companies to build, deploy, and scale apps, websites, ML models, and other business-critical workloads. It provides infrastructure, storage, networking, databases, and other services that help organizations digitally transform without managing data centers.

Q: How does GCP compare to competitors like AWS and Azure?

While the major cloud platforms share some common services, GCP differentiates itself in certain ways:

  • GCP leverages Google's global network and experience running highly scalable systems like Search, Gmail, and YouTube to provide fast and reliable infrastructure.
  • GCP offers competitive pricing and frequent discounts.
  • GCP emphasizes ease of use, automation, and open source with solutions like Cloud Shell, Cloud Functions, and Kubernetes.
  • GCP provides advanced analytics and ML access through services like BigQuery and AutoML.
  • GCP continuously innovates in cutting-edge areas like quantum computing and confidential computing.

Overall, GCP competes well on price, performance, innovation, and ease of use.

Q: What are some of GCP's key components and services?

  • Compute - Offers VMs, containers, and functions to run applications.
  • Storage - Managed storage services like Cloud Storage, and Persistent Disks.
  • Networking - Options like Virtual Private Cloud, Load Balancing and CDN.
  • Databases - Managed databases like Cloud SQL, BigTable, and Firestore.
  • Big Data - Services like BigQuery, Dataflow, Dataproc, and Pub/Sub.
  • Machine Learning - Platforms like AI Platform, AutoML, and Vertex AI.
  • Management Tools - Services for monitoring, logging, error reporting, and debugging.
  • Security - Options like Cloud IAM, Security Key, DLP, and Security Command Center.

Q: How are GCP pricing and billing handled?

GCP uses a pay-as-you-go model with no upfront costs. Usage is billed on a per-second basis. Pricing varies by service and machine type. Costs can be managed by right-sizing resources, using discounts and reserved instances, autoscaling, and utilizing services like Cloud Billing.

Q: What factors affect the choice between Compute Engine vs App Engine vs Kubernetes Engine?

  • Compute Engine provides flexible VMs for any workload. App Engine is ideal for scalable apps without infra management.
  • Kubernetes Engine simplifies container deployment, scaling, and management. Helpful for microservices architectures.
  • Compute Engine requires OS and infra management. App Engine fully abstracts infra away.
  • App Engine restricts language runtimes. Compute Engine allows any language/OS.
  • Compute Engine and Kubernetes Engine allow greater customization of underlying VMs.

Q: How can you make GCP infrastructure highly available and fault tolerant?

  • Use multiple availability zones to distribute instances and data.
  • Provision of adequate regional capacity for failovers.
  • Use managed services like Cloud Load Balancing and Cloud CDN.
  • Automate scaling based on demand.
  • Enable automated backups and restores.
  • Monitor services and set alerts for failures.
  • Test redundancy for mission-critical components.
  • Implement multi-region disaster recovery architecture.

Q: What security aspects must be evaluated when migrating apps to GCP?

  • Review identity and access management controls around storage, databases, VPCs, functions, etc.
  • Evaluate encryption requirements for data at rest and in transit.
  • Use Cloud Security Scanner to detect vulnerabilities.
  • Consider DDoS protection, web app firewalls, and OS patch management.
  • Analyze security logs, events, and metrics via tools like the Security Command Center.
  • Consider compliance needs around data residency, auditing, and reporting.
  • Assess security training needs for teams on GCP best practices.

Q: How can you optimize costs when architecting infrastructure on GCP?

Some best practices include:

  • Choose regional resources over zone-specific ones where possible.
  • Use auto-scaling groups and preemptible VMs.
  • Purchase reserved instances for steady-state workloads.
  • Continuously monitor and right-size resources.
  • Take advantage of sustained usage discounts.
  • Utilize committed use discounts for 1-3 year workloads.
  • Delete unused resources and stop idle instances.
  • Use cloud-native services like Cloud Functions and App Engine.
  • Leverage spot instances and bid strategically on price.


Adeptly navigating a GCP interview and positioning oneself as a qualified candidate demands a comprehensive grasp of the platform's fundamental components, services, and strategic principles. GCP's distinctiveness lies in its reliance on Google's extensive global network, competitive pricing models, and a commitment to continuous innovation. A thorough understanding of how GCP sets itself apart from competitors, coupled with knowledge of its performance, pricing structure, and user-centric approach, is paramount.

For those looking to enhance their expertise further, considering an AWS Cloud Architect course can provide valuable insights into cloud architecture principles and broaden one's skill set, complementing the knowledge gained from GCP. From core services encompassing computing, storage, and networking to security considerations and cost optimization strategies, candidates must showcase a holistic understanding of GCP's offerings. Effectively addressing interview questions requires expertise in workload-specific choices between Compute Engine, App Engine, and Kubernetes Engine, ensuring high availability, and meticulously evaluating security aspects during app migration. By comprehensively preparing in these areas, candidates, whether through GCP-focused resources or broader cloud architecture courses like AWS Cloud Architect, can confidently demonstrate their proficiency, making them well-positioned for success in GCP interviews.


Expect questions on integrating applications, managing infrastructure, and leveraging Google Cloud's scalability in Google Cloud platform interview questions.

1. What qualifications do I need to have before applying for GCP roles?

A CS/engineering degree and hands-on experience with Linux, networking, scripting, and infrastructure management are required for entry-level roles. For senior roles, 2-5 years of practical experience with GCP services like Compute Engine, Kubernetes Engine, VPCs, Cloud Storage, etc. is needed. Other useful skills are Python, Go, Bash, infrastructure automation, and DevOps. While certifications help, hands-on experience is most valued.

2. What is the difference between GCP and AWS?

While GCP and AWS share some common services, the key difference is that GCP entered later but invested heavily to catch up. AWS has a wider range of services, and GCP focuses on core infrastructure. GCP emphasizes ease of use, automation, and advanced analytics/ML access. AWS has a larger market share currently. GCP tends to outperform AWS in benchmarks. GCP rolls out new features and updates faster.

3. How different are Google Cloud Platform interviews from other cloud platform interviews?

While fundamentals tested are similar, GCP interviews emphasize - knowledge of Google infrastructure, automation/ease of use, latest GCP innovations, machine learning capabilities, cost optimization, and benchmarking performance against competitors.

4. Is GCP difficult?

GCP has many services, so mastering every aspect is challenging. However, with a focus on core computing, storage, networking, and management services, it is learnable over time. Scripting skills help automate repetitive tasks. Experience with computing orchestration platforms like Kubernetes simplifies managing containers and microservices.

5. What mistakes do applicants frequently make in GCP interviews?

Some common mistakes are - relying too much on certifications without hands-on experience, needing more depth in explaining technical concepts, not knowing the differences between GCP and competitor platforms, being unable to troubleshoot scenarios or optimize costs, and needing more familiarity with the latest GCP offerings.

6. How do you crack a Google Cloud Engineer interview?

Key tips - Study core infrastructure services in depth. Practice explaining concepts clearly and concisely. Know GCP's strengths relative to competitors. Hands-on experience with services like Compute Engine, Kubernetes Engine, VPCs, IAM, Cloud Storage, etc. Prepare for scenario-based questions. Brush up on the latest GCP offerings. Revise Linux, Python, and GoLang skills.

7. Can I apply for GCP roles without official certification?

Yes, certifications are useful, but employers value hands-on development experience more. Certifications with practical experience are generally sufficient. Focus on using GCP services in real projects to gain the required skills.

8. How do I stay updated with GCP's constantly evolving platform?

Subscribe to the Google Cloud blog and newsletter. Attend GCP-focused events and webinars. Follow GCP's social media channels. Stay active on GCP communities like Google Cloud Developer Community. Experiment with new GCP offerings and features as they are launched. Refer to GCP release notes and documentation regularly.

Our Cloud Computing Courses Duration and Fees

Cloud Computing Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Post Graduate Program in Cloud Computing8 Months$ 4,500
AWS Cloud Architect11 Months$ 1,299
Cloud Architect11 Months$ 1,449
Microsoft Azure Cloud Architect11 Months$ 1,499
Azure DevOps Solutions Expert6 Months$ 1,649