Google Cloud interview questions blog offers to equip candidates preparing for job roles within its IT-heavy corporation with valuable advice for passing an interview and answering all queries about its products or services.

Here, you will find information covering many subjects relevant to successful interviews at their IT giant with practical strategies for dealing with everyday difficulties and helpful tips on addressing various queries posed during an interview process.

All levels of Google Cloud interview process cloud computing experts, from absolute beginners to veterans, will find valuable advice in the Google Cloud interview questions blog.

The Google Cloud Interview Questions blog covers all bases for passing its interview process, from technical abilities and soft skills to soft skills assessment.

Read this blog post entirely if you want to be ready to ace the Google Cloud interview process!

Here, we will cover various Google Cloud Platform-related interview questions in-depth.

Google Cloud Platform (GCP) enables businesses and individuals to take advantage of various cloud computing services that facilitate safe, scalable development, deployment, management, storage and analytics – to name a few services provided through GCP.

Google Cloud sales interview questions will review various GCP-related interview questions, such as multiple-choice, scenario-based and behavioural queries.

Hopefully, after reading this piece, applicants will gain valuable knowledge that will allow them to ace their Google Cloud interview experience!

So, let’s dive right in – so let’s begin!

 1. What is cloud computing?

Cloud computing is a technology that delivers on-demand access to shared computing resources over the Internet, allowing organisations to integrate or modernise their infrastructure quickly.

2. In what ways does cloud computing improve things?

Cloud computing offers on-demand self-service, broad network access, resource pooling, dedicated resources, elastic resources, and paid-as-you-go models for usage or reservations.

3. Describe the initial phase of cloud computing.

The first wave of cloud computing emerged in the 1980s, with I&D shops utilising large amounts of data to build their infrastructures. Organisations rented space or shared facilities instead of building costly data centres, freeing up capital for other use cases.

4. What is virtualisation?

Virtualisation is a technology that allows components of a virtualised data centre to match those of a physical data centre and virtual devices to be separately managed from underlying devices.

5. Have you ever heard of container-based architectures?

Container-based architectures are a way to build and deploy infrastructure that scales on demand. They allow organisations to package applications and their dependencies into lightweight, portable containers that can run on any platform.

6. Which cloud service providers are well-known?

Some famous cloud providers include Amazon, Microsoft, Oracle, SAP Cloud Solutions, and Google Cloud Platform (GCP).

7. Can you tell me how the Google Cloud Platform will help me?

Google Cloud Platform offers high productivity, quick collaboration, high security, less data stored on vulnerable devices, reliable resources across geographical regions and countries, flexibility, and cost-effective solutions for various use cases.

8. What is a compute engine?

A computing engine is a cloud provider’s service that allows users to create and manage virtual machines (VMs) on their infrastructure. It offers various features such as predefined machine types, custom machine types, live migration, and GPU acceleration.

9. How does one go about determining the cost of cloud computing?

Several pricing models for cloud computing include pay-as-you-go, reserved instances, and on-demand self-service. The cost of cloud computing depends on the resources used, the duration of use, and the provider chosen.

10. Can you provide me with any instances of server less computing?

Examples of server less computing services include AWS Lambda, Google Cloud Functions, and Azure Functions.

11. How do cloud platforms provide storage services?

Storage services in cloud platforms store data in different formats and forms, such as images, videos, structured data, and more. Cloud storage is a unified service that keeps data in blocks or objects, while other platforms like AWS and Microsoft Azure have separate services for storing data in different formats.

12. What is object storage?

Object storage is where data is stored as objects in a data centre and can be accessed and retrieved independently of other data.

13. How does Google Cloud Platform handle data management?

Data Proc is a managed service that allows users to run Spark or Hadoop jobs. It is integrated with other Google Cloud Platform services and has open-source components pre-installed, making it easier to manage data processing tasks.

14. What is a virtual machine instance (VM)?

A virtual machine instance (VM) is a virtualised computing resource that runs on a cloud provider’s infrastructure. It can run applications, store data, and perform other computing tasks.

15. Tell me about the Google Cloud Platform and its features.

Google Cloud Platform includes computing, related services, storage and database, networking, big data, developer tools, identity and security management, internet of Things, cloud AI management tools, and data transfer solutions.

16. What is a persistent disk?

A persistent disk is a type of storage on a virtual machine instance (VM) that provides durable, high-performance block storage for data.

17. What is an SSH (Secure Shell) connection?

SSH is a secure way to connect to a virtual machine instance (VM) over the internet using the SSH protocol. It is a popular choice for remote access to VMs, as it allows users to securely transfer data and manage VMs from anywhere in the world.

18. Could you tell me more about the Cloud Spanner?

Cloud Spanner is a Big Table-based service that supports relational schema and offers strong query consistency. It is a managed, mission-critical, globally consistent, scalable relational database.

19. What is the Big Table service?

Big Table is a NoSQL database service that provides real-time access to petabytes of data for search engines. It is designed to handle large amounts of data with high throughput and scalability and supports various data service layers.

20. What is the Cloud Big Table service?

Cloud Big Table is a service that allows users to create and manage Big Table instances for their data storage needs. Users can choose from various instance names and settings, including the number of nodes and read/write performance.

21. Just what is the service that Cloud Data Store is?

Cloud Data Store is a service that adds software to Big Tables and supports more than simple key-value pairs and secondary indexes for reliable transactions like SQL queries. It can be used for various applications and offers features such as entity creation and default namespaces.

22. What is Google Cloud Storage?

Google Cloud Storage is a cloud-based storage service that allows users to store and retrieve data in a unique key format. It includes various options for access control, encryption, and retention policies and can handle large amounts of data with high throughput and scalability.

23. To what does the Cloud SQL service refer?

Cloud SQL is a fully managed relational database service that allows millions of machines across hundreds of data centres with support for automatic sharding and synchronous replication. It provides low latency and schema updates without downtime, making data highly available and durable.

24. Tell me about the Google Cloud Console.

The Google Cloud Console is a web-based management tool that allows users to manage and monitor their Google Cloud Platform resources. It provides a centralised interface for accessing various services and features.

25. How can I access the Google Cloud Platform command line?

The command line for Google Cloud Platform is called g cloud, and it provides various options for creating and managing compute engine resources. It can be used to set up instances, manage storage, and perform other related tasks.

26. What is Kubernetes?

Kubernetes is an open-source container orchestration system for automating the deployment, scaling, and management of containerised applications. It is often used with other Google Cloud Platform services to manage containerised workloads.

27. Briefly describe the Kafka messaging system.

Kafka is a distributed streaming platform for building real-time data pipelines and streaming applications. It is designed to handle high throughput and provide fault-tolerant and scalable messaging.

28. Where can I get information on Google Cloud Platform’s data flow service?

Dataflow is a fully managed service that allows users to create and execute data processing pipelines using Apache Beam SDK. It supports various data processing tasks, including batch and streaming data processing, and can be integrated with other Google Cloud Platform services.

29. Do you have any information about the data warehouse service offered by Google Cloud Platform?

Big Query is a data warehouse service that allows users to run queries on structured data stored in a data warehouse. It provides real-time streaming data analysis, supports various data sources, and can be integrated with other Google Cloud Platform services.

30. What is a S3 storage service?

S3 is a cloud-based object storage service that offers scalable, durable, and secure storage for data. It is a popular choice for storing and retrieving information or data online.

31. So, what exactly are cloud service models?

Cloud service models represent how different providers provide services to their users. Users may have specific requirements, such as basic infrastructure, networking, storage, server, and virtualisation. These providers offer the basic hardware, networking, storage, server, and virtualisation requirements while managing the virtualisation.

32. What is Infrastructure as a Service (IaaS)?

Infrastructure as a Service (IaaS) architecture provides users the basic infrastructure, while platform as a service (PaaS) provides the entire platform. The basic infrastructure is provided to users, while the vendor manages the operating system, middleware, and runtime.

33. What is Platform as a Service (PaaS)?

Platform as a Service (PaaS) provides users the entire platform, including the operating system, middleware, and runtime. Users control the data and applications.

34. What is Google Cloud Platform (GCP)?

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure used by Google for its end-user products, such as search engines, Gmail, photos, and YouTube. GCP’s efficient handling and maintaining these platforms is evident in its seamless operation, with no breakages or server downs.

35. What are containers on the Google Cloud Platform (GCP)?

Containers in GCP allow users to launch containers for data and bin files, starting work on any base. The container engine, or Google Kubernetes service, manages these containers.

36. To what extent does Google Cloud Platform (GCP) rely on its primary services?

The core services in GCP include computing, storage, database, networking, and application hosting. Understanding these core services is crucial for developers, architects, and administrators to succeed in their GCP exams.

37. Tell me about the computational engine that powers the Google Cloud Platform (GCP).

The compute engine is an IaaS service that allows users to launch virtual machines, such as Linux or Windows operating systems, with just a few clicks. The app engine, a service application, provides a platform for users to choose from Python or PHP-based platforms. GCP launches the virtual machine and manages everything else through the app engine.

38. Can you tell me about GCP’s container engine?

The container engine, or Google Kubernetes service, allows users to launch containers for data and bin files, starting work on any base.

39. To better understand Google Cloud Platform (GCP), describe its free tier.

The free tier version in GCP offers users access to various services and receives accessible units of money for their usage. These free units can be used to launch instances, storage services, and database services.

40. Is Google Cloud Platform (GCP) a monopolist or monopoly-based market?

GCP is not a monopolist or monopoly-based market, with various providers offering services in different domains.

41. What is serverless computing?

Serverless computing is a computing model where the cloud provider manages the computing resources, and the user only pays for the resources they use. It is a cost-efficient and scalable way to run applications without infrastructure setup or planning in advance.

42. Regarding data storage, what options does GCP offer?

GCP provides various services for storing data, including S3 for all types of data, EFS for files in the form of data, EBS for block storage, persistent disks for EBS, big tables for low latency, quick data processing, and high throughput performance for data analytics, and Cloud SQL for sequential data requiring access to a host machine.

43. In comparison to cloud storage, what are SQL databases?

SQL databases deal with structured and unstructured data and differ from cloud storage. Cloud storage services process data by storing it on a server and processing it using a cloud, big table, or cloud data store. Big tables are responsible for low latency, quick data processing, and high throughput performance for data analytics.

44. Describe GCP persistent storage.

Persistent storage in GCP is a service that allows users to create separate storage that can be attached to an instance without passing.

45. To what extent do cloud computing services encompass networking?

Networking services are essential for connecting different locations and resources, as data can reside in other parts of the world and require control over access, access rules, and network infrastructure. Google Cloud Platform offers virtual network services, such as private clouds and cloud virtual networks.

46. What is cloud load balancing?

Cloud load balancing is a method that distributes traffic from one resource to another, reducing the need for scaling up or down in existing infrastructure. This is particularly useful for disaster recovery when a data centre goes down.

47. Are you familiar with content delivery networks (CDNs)?

Content delivery networks (CDNs) are satisfied distribution services that help manage data latency by ensuring data is cached at a specific edge location close to a particular data centre.

48. Can you tell me about the VPC available on the Google Cloud Platform?

The VPC platform allows users to create virtual private clouds, assign subnets, and configure firewalls. VPC networks can be named and configured for automatic or custom creation, depending on the region.

49. How can one use Google’s domain name service in the cloud?

Google Cloud Platform’s cloud domain name service allows users to control domain names and access data for people from different locations.

50. What is a cloud security scanner?

A cloud security scanner is a tool that scans and crawls through all links, websites, and applications accessed through different URLs, checking for security.

51. Regarding the Google Cloud Platform, what exactly is IAM?

IAM in Google Cloud Platform is a service that allows users to control access to resources and activities. IAM also provides services such as Google Cloud product manager interviews, IAM security scanners, and platform security.

52. What is Google Cloud Platform’s deployment manager?

Deployment manager in Google Cloud Platform controls container applications on top of Google Cloud.

53. How can I get the cloud source repository for GCP?

GCP’s cloud source repository allows users to create version control devices on top of the cloud, such as Git, using the GCP cloud source repository.

54. For cloud machine learning, what is GCP’s offering?

GCP’s cloud machine learning service enables users to practice data sense and machine learning activities on the cloud.

55. Which cloud machine learning service does AWS offer?

AWS’s cloud machine learning service is similar to GCP’s and allows users to build Python models and deploy them in the public or production environment.

“Google Cloud interviews are challenging and fascinating ways to demonstrate cloud computing skills. Companies using cloud software providers often encounter this. Candidates use multiple-choice questions to assess cloud service providers on pricing, scalability, security, and customer support.

Candidates must understand cloud computing and evaluate cloud providers’ pros and cons. Candidates must also explain outcomes to non-experts. Multiple-choice Google Cloud interviews assess technical, communication, and problem-solving skills.”

1. Why is the paid-as-you-go model compelling for organisations or users who want to use one or more services for cloud computing?

a) Users only pay for the resources that they use.

b) A certain quantity of computing resources must be paid for.

c) They’ll have to set aside money for a set amount of storage space

d) They must also pay for a set amount of bandwidth resources.

Answer: a) Users only pay for the resources that they use.

2.What is Google’s commitment savings model?

a) Users can pay for computing time in monthly increments

b) In annual increments

c) For a certain length of time in advance

d) A fixed sum all at once.

Answer: c) For a certain length of time in advance

3. What is Google Cloud Platform’s storage service?

a) Cloud SQL

b) Bigtable

c) Google Cloud Storage

d) Fire store

Answer: c) Google Cloud Storage

4. What is the pricing structure for Google Cloud Storage?

a) Monthly storage for read-centric rights

b) Cluster usage fees for Bigtable

c) Cost per instance type lock-in for commitment savings

d) Cost per second for reads and writes in Bigtable

Answer: a) Monthly storage for read-centric rights

5. What is Google Cloud Platform’s fully managed relational database service?

a) Cloud SQL

b) Cloud Data Store

c) Cloud Spanner

d) Bigtable

Answer: a) Cloud SQL

6. What is Google Cloud Platform’s fully managed NoSQL database service?

a) Cloud Data Store

b) Fire Store

c) Bigtable

d) Cloud SQL

Answer: b) Fire store

7. What is Google Cloud Platform’s fully managed relational database service for MySQL?

a) MySQL

b) Postgres

c) SQL Server

d) Oracle

Answer: a) MySQL

8. What is Google Cloud Platform’s streaming data processing service?

a) Bigtable

b) Big Query

c) Dataflow

d) Proc

Answer: c) Dataflow

9. Which of the following is a storage class for Google Cloud Storage?

a) Short-term storage

b) Cold storage (near line)

c) Freezing storage (hardline)

d) Archiving for data access less than once a year

Answer: a) Short-term storage

10. What is the name of Google’s database system that provides real-time access to petabytes of data for search engines?

a) MongoDB

b) Cassandra

c) Bigtable

d) Neo4j

Answer: c) Bigtable

11. Which of the following is not a cloud storage service offered by Google Cloud Platform?

a) Google Cloud Storage

b) Cloud Storage

c) Cloud SQL

d) Cloud Spanner

Answer: d) Cloud Spanner

12. What is the name of Google’s fully managed relational database service that supports Spark and Hadoop jobs?

a) Cloud Data Proc

b) Data Proc

c) Data Flow

d) Data Warehouse

Answer: a) Cloud Data Proc

13. What is the name of Google’s data warehousing service for structured data?

a) Cloud Data Proc

b) Data Flow

c) Big Data Proc

d) Big Query

Answer: d) Big Query

14. What is the name of Google’s streaming data processing service that allows one recorded time?

a) Cloud Bigtabl

b) Cloud Data Proc

c) Data Flow

d) Big Query

Answer: a) Cloud Bigtable

15. Which of the following is not a programming language supported by Google Cloud Console?

a) Python

b) Java

c) JavaScript

d) Ruby

Answer: d) Ruby

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Multiple-choice, scenario-based and behavioural interview questions cover various GCP questions here.

GCP offers numerous services that could increase an applicant’s chances of passing interviews; getting acquainted with these offerings, understanding their advantages and disadvantages, and practising applying these ideas in practical settings can significantly boost applicants’ odds of securing jobs with GCP.

Preparing for a Google Cloud consultant interview requires practising technical and non-technical components; applicants who improve communication and problem-solving abilities will fare best in interviews.

We hope this blog has provided helpful resources as you become an authority in this space; best wishes with all upcoming interviews!