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Question: Can you explain the concept of Auto Scaling in GCP?
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Answer: The Auto Scaling in GCP automatically adjusts the number of virtual machine instances in a managed instance group
based on predefined criteria such as CPU utilization or HTTP load. It ensures that the application has enough capacity to handle varying
workloads efficiently while minimizing costs.
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Question: How does Google Cloud Platform ensure data security and compliance?
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Answer: Google Cloud Platform employs various security measures such as encryption at rest and in transit,
identity and access management, network security, and compliance certifications (e.g., SOC 2, HIPAA, GDPR)
to protect customer data and ensure regulatory compliance.
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Question: What is Google Cloud NAT, and how does it enable outbound internet access for private instances?
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Answer: Google Cloud NAT (Network Address Translation) is a managed service that allows private instances in a
Virtual Private Cloud (VPC) network to access the internet for software updates, patches, and external dependencies
without exposing their IP addresses to the public internet.
Cloud NAT translates private IP addresses to ephemeral IP addresses for outbound internet traffic, providing secure
and controlled access to external resources.
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Question: What is Google Cloud Functions Eventarc, and how does it enable event-driven architectures?
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Answer: The Google Cloud Functions Eventarc is a service that allows users to trigger Google Cloud Functions
in response to events from various GCP services or custom sources.
It enables developers to build event-driven architectures by decoupling components and automating workflows based on real-time events.
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Question: Can you explain the concept of Google Cloud Storage Classes and when you would use each class?
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Answer: Google Cloud Storage offers different storage classes tailored to specific use cases and cost requirements.
These include:
• Standard for frequently accessed data.
• Nearline for infrequently accessed data with lower latency requirements.
• Coldline for archival data.
• Archive for long-term storage with minimal access.
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Question: What is Google Cloud Dataprep, and how does it simplify data preparation and cleansing tasks?
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Answer: The Google Cloud Dataprep is a serverless data preparation service on GCP that helps users clean, transform,
and enrich raw data for analysis and machine learning.
It offers a visual interface for building data preparation pipelines using built-in functions and transformations, automates data
cleansing tasks, and accelerates the time-to-insight for data analytics projects.
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Question: What is Google Cloud Build, and how does it facilitate CI/CD workflows?
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Answer: The Google Cloud Build is a fully managed continuous integration and continuous deployment (CI/CD) service on GCP.
It automates the build, test, and deployment processes of applications by executing build steps defined in configuration files (e.g., cloudbuild.yaml).
Cloud Build integrates with version control systems like GitHub and GitLab, enabling developers to automate software delivery pipelines efficiently.
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