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Question: What is Google Cloud Spanner and how does it differ from traditional relational databases?
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Answer: The Google Cloud Spanner is a globally distributed relational database service provided by GCP.
It offers horizontal scalability, strong consistency, and high availability across multiple regions.
Unlike traditional relational databases, Spanner allows users to scale both storage and compute independently without sacrificing consistency.
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Question: Can you explain the concept of Google Cloud Functions?
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Answer: The Google Cloud Functions is a serverless execution environment provided by GCP. It allows developers
to write and deploy event-driven functions that automatically respond to events from various GCP services or HTTP triggers without
managing the underlying infrastructure.
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Question: What are the key features of Google Cloud Bigtable?
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Answer: The Google Cloud Bigtable is a fully managed, scalable NoSQL database service provided by GCP.
It is designed for massive analytical and operational workloads, offering high throughput, low latency, and seamless scalability.
The key features include:
• Automatic sharding
• Replication
• Integration with popular big data tools like Apache Hadoop and Apache Spark.
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Question: Can you explain the concept of CDN (Content Delivery Network) in the context of GCP?
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Answer: The Google Cloud CDN is a global content delivery network provided by GCP.
It caches and delivers content from websites and applications hosted on GCP to users worldwide, reducing latency
and improving performance.
The Cloud CDN leverages Google's global network infrastructure to deliver content efficiently to end-users.
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Question: What is Google Cloud Dataflow and how does it relate to Apache Beam?
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Answer: The Google Cloud Dataflow is a fully managed stream and batch processing service provided by GCP. It allows users
to develop and execute data processing pipelines at any scale, handling tasks like data ingestion, transformation, and analysis.
Apache Beam is an open-source unified programming model for batch and streaming data processing, and Dataflow fully
supports Beam pipelines.
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Question: Can you explain the concept of IAM Roles in GCP?
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Answer: The IAM (Identity and Access Management) Roles in GCP define a set of permissions that determine
what actions a user, service account, or Google group can perform on GCP resources.
Roles are granted at the project or resource level and provide granular control over access to GCP services and APIs.
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Question: What is Google Cloud Memorystore and how is it used?
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Answer: The Google Cloud Memorystore is a fully managed in-memory data store service provided by GCP.
It is compatible with open-source Redis, offering high performance, scalability, and reliability for caching
and session management in applications.
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Question: Can you explain the concept of Cloud Deployment Manager in GCP?
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Answer: The Google Cloud Deployment Manager is an infrastructure-as-code service provided by GCP.
It allows users to define, deploy, and manage GCP resources using templates written in YAML or Jinja2.
Deployment Manager enables automated and repeatable provisioning of infrastructure, ensuring consistency and reliability.
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