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Top 100 GCP Interview Questions and Answers

Top 100 GCP Interview Questions and Answers

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1. How do you authenticate with Google Cloud Platform services in your application?

Answer: You can use a service account key file for server-to-server authentication. Below is a Python example:

from google.oauth2 import service_account

credentials = service_account.Credentials.from_service_account_file(
    'path/to/keyfile.json',
    scopes=['https://www.googleapis.com/auth/cloud-platform']
)

2. Explain the purpose of Google Cloud Storage (GCS) and provide an example of uploading a file.

Answer: GCS is an object storage system for storing and retrieving any amount of data. To upload a file using Python, use the blob.upload_from_filename() method:

from google.cloud import storage

client = storage.Client()
bucket = client.get_bucket('bucket-name')
blob = bucket.blob('destination/blob.txt')
blob.upload_from_filename('source/file.txt')

3. How can you automate resource creation and management in GCP?

Answer: You can use Deployment Manager templates, which are YAML or Jinja2 files describing the resources. Below is an example YAML template for creating a VM:

resources:
- name: my-vm
  type: compute.v1.instance
  properties:
    zone: us-central1-a
    machineType: zones/us-central1-a/machineTypes/n1-standard-1
    ...

4. What is Google Kubernetes Engine (GKE) and how do you create a cluster?

Answer: GKE is a managed Kubernetes service. To create a cluster using the gcloud CLI:

gcloud container clusters create my-cluster --num-nodes=3 --zone=us-central1-a

5. Explain the purpose of Cloud Functions and provide an example of creating one.

Answer: Cloud Functions are event-driven serverless functions. Below is an example of creating a function triggered by an HTTP request:

def hello_world(request):
    return 'Hello, World!'

6. How do you manage secrets in Google Cloud Platform?

Answer: You can use Cloud Secret Manager to store and manage sensitive information. Below is an example of creating a secret:

gcloud secrets create my-secret --replication-policy=automatic

7. What is Google Cloud Pub/Sub and how does it work?

Answer: Pub/Sub is a messaging service that allows you to send and receive messages between independent applications. Below is an example of publishing a message using Python:

from google.cloud import pubsub_v1

publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path('project-id', 'topic-name')

data = 'Hello, Pub/Sub!'
future = publisher.publish(topic_path, data.encode('utf-8'))

8. How can you set up VPC peering in GCP?

Answer: You can use the gcloud CLI to create a peering connection. Below is an example:

gcloud compute networks peerings create my-peering \
    --network=my-network \
    --peer-project=peer-project-id \
    --peer-network=peer-network \
    --auto-create-routes

9. Explain the purpose of Identity and Access Management (IAM) in GCP.

Answer: IAM is used to manage access to resources. It allows you to grant specific permissions to users, groups, or service accounts. Below is an example of granting a role to a user:

gcloud projects add-iam-policy-binding my-project \
    --member=user:user@example.com \
    --role=roles/editor

10. How can you monitor and debug applications in GCP?

Answer: You can use Stackdriver for monitoring and logging. Below is an example of querying logs:

gcloud logging read "resource.type=gce_instance"

11. How do you securely manage sensitive data in GCP?

Answer: You can use Cloud Key Management Service (KMS) for encrypting sensitive data. Below is an example of encrypting and decrypting data:

from google.cloud import kms_v1

client = kms_v1.KeyManagementServiceClient()
location = 'global'
key_ring = 'my-key-ring'
crypto_key = 'my-crypto-key'
plaintext = 'Sensitive data'

response = client.encrypt(
    request={'name': client.crypto_key_path_path('project-id', location, key_ring, crypto_key), 'plaintext': plaintext.encode('utf-8')}
)

ciphertext = response.ciphertext

12. What is Cloud Spanner and how is it different from traditional databases?

Answer: Cloud Spanner is a globally distributed, horizontally scalable relational database. It provides strong consistency and high availability. Below is an example of creating a table in Cloud Spanner:

CREATE TABLE Singers (
  SingerId INT64,
  FirstName STRING(1024),
  LastName STRING(1024),
) PRIMARY KEY (SingerId);

13. How can you automate the deployment of applications on GCP?

Answer: You can use Cloud Build to automate builds and deployments. Below is an example of creating a cloudbuild.yaml configuration file:

steps:
- name: 'gcr.io/cloud-builders/gcloud'
  args: ['app', 'deploy']

14. Explain the purpose of Cloud Identity Platform.

Answer: Cloud Identity Platform is an identity as a service (IDaaS) solution. It provides secure user authentication and identity management. Below is an example of using Cloud Identity Platform with Firebase:

firebase auth:import users.csv --hash-algo=BCRYPT

15. What is BigQuery and how do you run a query?

Answer: BigQuery is a serverless, highly scalable data warehouse. To run a query using the bq CLI:

bq query --use_legacy_sql=false 'SELECT * FROM `project-id.dataset.table`'

16. How can you set up a Cloud VPN in GCP?

Answer: You can use the gcloud CLI to create a VPN tunnel. Below is an example:

gcloud compute vpn-tunnels create my-tunnel \
    --region=us-central1 \
    --peer-address=peer-ip \
    --shared-secret=shared-secret

17. Explain the purpose of Cloud Composer.

Answer: Cloud Composer is a fully managed workflow orchestration service. It allows you to author, schedule, and monitor workflows. Below is an example of creating a DAG in Cloud Composer:

from airflow import DAG
from datetime import datetime, timedelta

default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'start_date': datetime(2022, 1, 1),
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
}

dag = DAG('my_dag', default_args=default_args, schedule_interval=timedelta(days=1))

18. How can you implement a CDN in GCP?

Answer: You can use Cloud CDN to cache content at Google’s globally distributed edge caches. Below is an example of enabling Cloud CDN for a backend service:

gcloud compute backend-services update my-backend-service \
    --global \
    --enable-cdn

19. Explain the purpose of Cloud AutoML.

Answer: Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models. Below is an example of training a text classification model:

gcloud ai-platform jobs submit training my-training-job \
    --region=us-central1 \
    --module-name=train.py \
    --package-path=./ \
    --job-dir=gs://bucket-name/job-dir \
    -- \
    --input-data=gs://bucket-name/input-data

20. How do you handle error reporting and monitoring in GCP?

Answer: You can use Stackdriver Error Reporting to track and view errors in your applications. Below is an example of viewing error details in the Stackdriver UI.


21. How do you manage access control in GCP?

Answer: Access control in GCP is managed through Identity and Access Management (IAM). Below is an example of adding a user to a project with a specific role:

gcloud projects add-iam-policy-binding my-project \
    --member=user:user@example.com \
    --role=roles/editor

22. Explain the purpose of Cloud Storage in GCP.

Answer: Cloud Storage is an object storage system for storing and retrieving data. Below is an example of creating a storage bucket:

gsutil mb gs://my-bucket

23. How can you set up a VPC in GCP?

Answer: You can use the GCP Console or the gcloud CLI to create a VPC network. Below is an example of creating a VPC network:

gcloud compute networks create my-vpc

24. What is Cloud Functions and how do you deploy one?

Answer: Cloud Functions is a serverless compute solution. Below is an example of deploying a function:

gcloud functions deploy my-function \
    --runtime=nodejs14 \
    --trigger-http \
    --allow-unauthenticated \
    --entry-point=myFunction

25. How do you set up a Kubernetes cluster in GCP?

Answer: You can use gcloud CLI or Google Kubernetes Engine (GKE) Console to create a cluster. Below is an example of creating a GKE cluster:

gcloud container clusters create my-cluster \
    --num-nodes=3 \
    --zone=us-central1-a

26. Explain the purpose of Cloud SQL in GCP.

Answer: Cloud SQL is a fully-managed relational database service. Below is an example of creating a MySQL instance:

gcloud sql instances create my-instance \
    --tier=db-n1-standard-1 \
    --region=us-central1

27. How can you deploy a web application on App Engine?

Answer: You can use gcloud CLI or the App Engine Console to deploy an application. Below is an example of deploying a Python app:

gcloud app deploy app.yaml

28. What is Cloud Dataproc and how do you create a cluster?

Answer: Cloud Dataproc is a managed Apache Spark and Hadoop service. Below is an example of creating a Dataproc cluster:

gcloud dataproc clusters create my-cluster \
    --region=us-central1 \
    --num-workers=2

29. Explain the purpose of Cloud Pub/Sub.

Answer: Cloud Pub/Sub is a messaging service for building event-driven systems. Below is an example of creating a topic and publishing a message:

gcloud pubsub topics create my-topic
gcloud pubsub topics publish my-topic --message="Hello, World!"

30. How do you monitor resources in GCP?

Answer: You can use Stackdriver to monitor resources. Below is an example of viewing resource metrics in the Stackdriver Monitoring UI.


31. How can you automate resource provisioning in GCP?

Answer: You can use Deployment Manager or Terraform to automate resource provisioning. Below is an example of creating a Compute Engine instance using Deployment Manager:

resources:
- name: my-instance
  type: compute.v1.instance
  properties:
    zone: us-central1-a
    machineType: zones/us-central1-a/machineTypes/n1-standard-1
    disks:
    - deviceName: boot
      type: PERSISTENT
      boot: true
      autoDelete: true
      initializeParams:
        sourceImage: projects/debian-cloud/global/images/family/debian-10
    networkInterfaces:
    - network: global/networks/default

32. What is Cloud Identity-Aware Proxy (IAP) and how does it work?

Answer: Cloud IAP is a service that controls access to applications running on GCP. It verifies user identity and checks if the user has the necessary permissions. Below is an example of configuring IAP:

gcloud compute backend-services add-iap my-backend-service \
    --location=us-central1-a \
    --identity-backend-service=my-iap

33. Explain the purpose of BigQuery in GCP.

Answer: BigQuery is a serverless, highly-scalable, and cost-effective multi-cloud data warehouse. It’s used for analyzing and querying large datasets. Below is an example of running a query in BigQuery:

SELECT
  name,
  COUNT(*) as num_orders
FROM
  `my-dataset.my-table`
GROUP BY
  name

34. How can you manage secrets and sensitive information in GCP?

Answer: You can use Cloud Key Management Service (KMS) or Secret Manager to securely store and manage secrets. Below is an example of creating a secret in Secret Manager:

gcloud secrets create my-secret --data-file=my-secret.txt

35. What is Cloud Armor and how does it help protect applications?

Answer: Cloud Armor is a DDoS and application defense service. It provides protection against infrastructure and application layer DDoS attacks. Below is an example of creating a security policy in Cloud Armor:

gcloud compute security-policies create my-policy

36. Explain the purpose of Cloud Dataflow in GCP.

Answer: Cloud Dataflow is a fully managed stream and batch data processing service. It’s used for building data pipelines. Below is an example of creating a Dataflow job:

gcloud dataflow jobs run my-job \
    --gcs-location=gs://dataflow-templates/latest/GCS_Text_to_BigQuery \
    --region=us-central1 \
    --parameters=javascriptTextTransformFunctionName=myFunction,JSONPath=gs://path/to/schema.json

37. How do you monitor logs and perform analysis in GCP?

Answer: You can use Cloud Logging to view, search, and analyze logs. Below is an example of searching for logs with a specific severity level:

gcloud logging read "severity=ERROR"

38. What is Cloud Composer in GCP?

Answer: Cloud Composer is a fully managed workflow orchestration service built on Apache Airflow. It’s used for authoring, scheduling, and monitoring workflows.


39. How can you automate tasks using Cloud Scheduler?

Answer: Cloud Scheduler allows you to automate tasks by triggering them at specified times. Below is an example of creating a job that triggers a Pub/Sub message:

gcloud scheduler jobs create pubsub my-job \
    --schedule="0 0 * * *" \
    --topic=my-topic \
    --message-body="Hello, World!"

40. What is Cloud Memorystore and when would you use it?

Answer: Cloud Memorystore is a fully managed in-memory data store service. It’s used for caching frequently accessed data. Below is an example of creating a Memorystore instance:

gcloud redis instances create my-instance \
    --size=1 \
    --region=us-central1

41. What is Cloud Run and how does it work?

Answer: Cloud Run is a fully managed container platform that automatically scales applications based on incoming requests. Below is an example of deploying a containerized application to Cloud Run:

gcloud run deploy my-service \
    --image=gcr.io/my-project/my-image \
    --platform=managed \
    --region=us-central1

42. Explain the purpose of Google Kubernetes Engine (GKE) in GCP.

Answer: GKE is a managed Kubernetes service that simplifies the deployment, management, and scaling of containerized applications. Below is an example of creating a GKE cluster:

gcloud container clusters create my-cluster \
    --num-nodes=3 \
    --zone=us-central1-a

43. What is Cloud Pub/Sub and how does it work?

Answer: Cloud Pub/Sub is a messaging service for building event-driven systems. It allows you to asynchronously send and receive messages between independent applications. Below is an example of creating a Pub/Sub topic and subscription:

gcloud pubsub topics create my-topic
gcloud pubsub subscriptions create my-subscription --topic=my-topic

44. Explain the purpose of Cloud CDN in GCP.

Answer: Cloud CDN is a content delivery network service that accelerates the delivery of web content to users. It reduces latency and improves page load times. Below is an example of configuring a backend bucket for Cloud CDN:

gcloud compute backend-buckets create my-bucket \
    --gcs-bucket-name=my-gcs-bucket

45. How can you set up automatic backups for a Google Cloud SQL database?

Answer: You can configure automated backups for a Cloud SQL database by setting the backup retention period and enabling automatic backups in the console or using gcloud commands.


46. Explain the purpose of Google Cloud Storage in GCP.

Answer: Google Cloud Storage is a scalable object storage service that allows you to store and retrieve data. It’s suitable for storing large datasets, backups, and multimedia content. Below is an example of uploading a file to a Cloud Storage bucket:

gsutil cp my-file.txt gs://my-bucket/

47. What is Cloud Spanner and when would you use it?

Answer: Cloud Spanner is a globally distributed, horizontally scalable database service. It’s used for mission-critical, globally distributed applications that require strong consistency. Below is an example of creating a Cloud Spanner instance:

gcloud spanner instances create my-instance \
    --config=regional-us-central1 \
    --nodes=1

48. How can you secure your GCP resources?

Answer: You can secure GCP resources by using Identity and Access Management (IAM) to control access, enabling Cloud Identity-Aware Proxy (IAP), setting up firewall rules, and using encryption for data at rest and in transit.


49. Explain the purpose of Google Cloud Functions in GCP.

Answer: Google Cloud Functions is a serverless compute service that allows you to run code in response to events without managing servers. It’s used for event-driven, lightweight workloads. Below is an example of deploying a Cloud Function:

gcloud functions deploy my-function \
    --runtime=nodejs16 \
    --trigger-http

50. What is Bigtable and when is it a suitable choice for data storage?

Answer: Bigtable is a NoSQL, wide-column store database. It’s suitable for applications that require high-throughput and low-latency access to large amounts of semi-structured data. Below is an example of creating a Bigtable instance:

cbt createtable my-table

51. What is Google Cloud Composer?

Answer: Google Cloud Composer is a managed workflow orchestration service that allows you to author, schedule, and monitor workflows. It’s based on Apache Airflow.


52. Explain the purpose of Google Cloud Functions in GCP.

Answer: Google Cloud Functions is a serverless compute service that allows you to run code in response to events without managing servers. It’s used for event-driven, lightweight workloads. Below is an example of deploying a Cloud Function:

gcloud functions deploy my-function \
    --runtime=nodejs16 \
    --trigger-http

53. What is Dialogflow and how can it be used?

Answer: Dialogflow is a natural language understanding platform that allows you to design and integrate conversational user interfaces into applications. It’s commonly used for building chatbots and virtual assistants.


54. How do you manage and monitor resources in GCP?

Answer: You can use Stackdriver, which provides monitoring, logging, and diagnostics for applications on GCP. It helps you gain insights into the performance and health of your applications.


55. What is Google Cloud Dataproc?

Answer: Google Cloud Dataproc is a managed Spark and Hadoop service that allows you to process big data quickly and efficiently. It can be used for tasks like data processing, analytics, and machine learning.


56. Explain the purpose of Google Cloud AutoML.

Answer: Google Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs.


57. How can you ensure data security in Google Cloud Platform?

Answer: You can ensure data security in GCP by using IAM roles and permissions, encryption at rest and in transit, setting up firewalls, and regularly auditing your resources.


58. What is Google Cloud Endpoints?

Answer: Google Cloud Endpoints is a platform that allows you to develop, deploy, and manage APIs. It provides tools for generating client libraries and API management.


59. Explain the purpose of Google Cloud Dataflow.

Answer: Google Cloud Dataflow is a fully managed stream and batch data processing service. It’s used for real-time data processing tasks such as ETL and stream analytics.


60. What is Google Cloud Speech-to-Text and when would you use it?

Answer: Google Cloud Speech-to-Text is an automatic speech recognition service that converts spoken language into written text. It’s used in applications like transcription services, voice assistants, and more.


61. What is Google Kubernetes Engine (GKE)?

Answer: Google Kubernetes Engine is a managed Kubernetes service that simplifies deploying, managing, and scaling containerized applications using Kubernetes. It allows you to run containers without managing the underlying infrastructure.


62. Explain the purpose of Cloud Pub/Sub in GCP.

Answer: Cloud Pub/Sub is a messaging service that allows you to send and receive messages between independent applications. It’s used for building event-driven systems, real-time analytics, and more.


63. What is Cloud Identity and Access Management (IAM)?

Answer: Cloud IAM is a service that manages access control for Google Cloud resources. It enables you to grant specific permissions to users, groups, or service accounts, ensuring secure access to resources.


64. How does Google Cloud Bigtable differ from BigQuery?

Answer: Google Cloud Bigtable is a NoSQL wide-column database for large analytical and operational workloads. BigQuery, on the other hand, is a fully managed serverless data warehouse for running fast SQL queries.


65. Explain Google Cloud Memorystore.

Answer: Google Cloud Memorystore is a fully managed in-memory data store service built on the Redis protocol. It provides a scalable and high-performance caching solution for applications.


66. What is Google Cloud Datastore?

Answer: Google Cloud Datastore is a highly-scalable, NoSQL document database for web and mobile applications. It’s designed to handle large amounts of data and provide high availability.


67. How can you secure data in Google Cloud Storage?

Answer: You can secure data in Google Cloud Storage by setting up access control lists (ACLs), using signed URLs, enabling versioning, and encrypting data at rest with customer-supplied encryption keys (CSEK).


68. Explain the purpose of Google Cloud Identity Platform.

Answer: Google Cloud Identity Platform is an identity as a service (IDaaS) solution that helps you securely authenticate and manage users for your applications. It supports various authentication methods like OAuth, SAML, and more.


69. What is Google Cloud Spanner?

Answer: Google Cloud Spanner is a horizontally-scalable, globally-distributed relational database service. It provides strong consistency and high availability, making it suitable for mission-critical applications.


70. How does Google Cloud IoT Core work?

Answer: Google Cloud IoT Core is a fully managed service that allows you to securely connect, manage, and ingest data from IoT devices. It integrates with other GCP services for data processing and analysis.


71. What is Google Cloud AutoML?

Answer: Google Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models for various tasks like image classification, natural language processing, and more.


72. Explain the purpose of Google Cloud Endpoints.

Answer: Google Cloud Endpoints is a framework that allows you to create, deploy, and manage APIs. It helps developers create scalable APIs for their applications, and it provides features like authentication, monitoring, and more.


73. What is Google Cloud CDN?

Answer: Google Cloud CDN (Content Delivery Network) is a distributed network of servers that accelerates content delivery to users. It caches content at locations near end users, reducing latency and improving the performance of web applications.


74. How does Google Cloud Dataflow differ from Apache Beam?

Answer: Google Cloud Dataflow is a fully managed stream and batch data processing service that’s based on Apache Beam. Apache Beam is an open-source unified programming model for batch and streaming data processing.


75. Explain Google Cloud Video Intelligence API.

Answer: Google Cloud Video Intelligence API allows you to extract information from videos. It provides capabilities like object tracking, explicit content detection, shot change detection, and more.


76. What is Google Cloud Functions?

Answer: Google Cloud Functions is a serverless execution environment for building and connecting cloud services. It allows you to write small, single-purpose functions that automatically respond to events.


77. Explain Google Cloud Natural Language API.

Answer: Google Cloud Natural Language API provides natural language processing capabilities. It can analyze text for sentiment, entity recognition, and syntax analysis, making it useful for various NLP tasks.


78. How can you monitor and log activities in Google Cloud?

Answer: Google Cloud provides services like Stackdriver for monitoring, logging, and diagnostics. Stackdriver allows you to monitor the performance and availability of applications and infrastructure.


79. What is Google Cloud Composer?

Answer: Google Cloud Composer is a fully managed workflow orchestration service. It helps you automate, monitor, and manage workflows across various GCP services.


80. Explain the purpose of Google Cloud Armor.

Answer: Google Cloud Armor is a DDoS and application defense service that helps protect your applications from infrastructure and application layer DDoS attacks.


81. What is BigQuery in Google Cloud?

Answer: BigQuery is a fully managed, serverless data warehouse solution provided by Google Cloud. It allows users to run SQL-like queries against large datasets quickly and efficiently.


82. Explain the purpose of Google Cloud Dataprep.

Answer: Google Cloud Dataprep is an intelligent cloud service that allows users to visually explore, clean, and prepare data for analysis or machine learning. It’s particularly useful for data wrangling tasks.


83. What is Google Kubernetes Engine (GKE)?

Answer: Google Kubernetes Engine (GKE) is a managed Kubernetes service that simplifies deploying, managing, and scaling containerized applications using Google Cloud infrastructure.


84. How does Google Cloud Storage differ from Google Drive?

Answer: Google Cloud Storage is a scalable, object storage system for storing and retrieving any amount of data. Google Drive, on the other hand, is a personal cloud storage service for individual users.


85. Explain the purpose of Google Cloud Spanner.

Answer: Google Cloud Spanner is a globally distributed, horizontally scalable relational database service. It provides strong consistency and high availability, making it suitable for mission-critical applications.


86. What is Google Cloud Identity and Access Management (IAM)?

Answer: Google Cloud IAM is a service that manages access control for Google Cloud resources. It allows administrators to control who (users/groups) has what level of access to specific resources.


87. Explain Google Cloud Functions Triggers.

Answer: Triggers in Google Cloud Functions define the events that invoke a function. They can be HTTP triggers, Cloud Storage events, Pub/Sub messages, or Firestore events, among others.


88. What is Google Cloud IoT Core?

Answer: Google Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from IoT devices at a global scale.


89. How does Google Cloud Pub/Sub work?

Answer: Google Cloud Pub/Sub is a messaging service that allows you to asynchronously send and receive messages between independent applications. It provides reliable, scalable message delivery.


90. Explain the purpose of Google Cloud Memorystore.

Answer: Google Cloud Memorystore is a fully managed, in-memory data store service. It’s used for caching and provides a high-performance, low-latency solution for applications.


91. What is Google Cloud AutoML?

Answer: Google Cloud AutoML is a suite of machine learning products that enables businesses with limited machine learning expertise to build high-quality custom models for various tasks, such as image recognition, translation, and natural language processing.


92. Explain the concept of Google Cloud Dataflow.

Answer: Google Cloud Dataflow is a fully managed stream and batch data processing service that allows you to process and analyze data in real-time or in batch mode. It’s designed to handle both bounded and unbounded data sets.


93. What is Google Cloud Composer?

Answer: Google Cloud Composer is a fully managed workflow orchestration service that allows you to author, schedule, and monitor workflows. It’s built on Apache Airflow and provides a graphical interface for creating complex data pipelines.


94. What is Google Cloud Endpoints?

Answer: Google Cloud Endpoints is a service that allows developers to create, deploy, and manage APIs. It enables you to build scalable and secure APIs that are easily accessible by web, mobile, or backend applications.


95. Explain the purpose of Google Cloud Dataproc.

Answer: Google Cloud Dataproc is a fast, easy, and fully managed cloud service for running Apache Spark and Apache Hadoop clusters. It provides a simplified way to process big data.


96. What is Google Cloud IoT Edge?

Answer: Google Cloud IoT Edge is a fully managed service that allows you to run IoT applications and machine learning models on edge devices. This enables local processing of data and reduces latency.


97. Explain the purpose of Google Cloud Natural Language API.

Answer: Google Cloud Natural Language API is a service that provides powerful natural language processing capabilities. It can extract information, perform sentiment analysis, and classify content into various categories.


98. What is Google Cloud Video Intelligence API?

Answer: Google Cloud Video Intelligence API enables you to extract valuable insights from videos. It can detect objects, scenes, and activities in videos, making it useful for tasks like video content analysis.


99. What is Google Cloud Functions?

Answer: Google Cloud Functions is a serverless computing service that allows you to run event-driven functions in response to specific triggers. It enables developers to focus on writing code without managing infrastructure.


100. Explain the purpose of Google Cloud Monitoring.

Answer: Google Cloud Monitoring is a comprehensive monitoring and management service that provides visibility into the performance, uptime, and overall health of applications and infrastructure hosted on Google Cloud.