Cloud Fundamentals and Google Cloud Overview
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Questions and Answers

Which Google Cloud product is specifically designed for large-scale data analytics?

  • Cloud Bigtable
  • BigQuery (correct)
  • Cloud Pub/Sub
  • Cloud Spanner

    • Cloud SQL provides automatic failover across multiple geographic regions for web applications.

    False

    What storage option should be chosen for low-cost, durable backup data that must be retained for 10 years?

    Cloud Storage Coldline

    The product that automatically distributes traffic across multiple regions to ensure high availability is called __________.

    <p>Cloud Load Balancing</p> Signup and view all the answers

    Match the Google Cloud products with their primary functions:

    <p>Cloud Bigtable = Optimized for NoSQL workloads Cloud Pub/Sub = Messaging service Cloud Spanner = Relational database service BigQuery = Large-scale data analytics</p> Signup and view all the answers

    What is the primary purpose of Cloud Trace?

    <p>To track latency and find bottlenecks</p> Signup and view all the answers

    SLA, SLO, and SLI are all terms related to service performance measures.

    <p>True</p> Signup and view all the answers

    What does SRE stand for?

    <p>Site Reliability Engineering</p> Signup and view all the answers

    ___ is a lightweight environment that packages and isolates software.

    <p>Container</p> Signup and view all the answers

    Match the following terms with their explanations:

    <p>Cloud Logging = Tracks and analyzes logs from applications Cloud Monitoring = Provides metrics and insights for cloud infrastructure health Serverless Computing = Running applications without managing servers Rehosting = Moving applications without changing them</p> Signup and view all the answers

    Which of the following is NOT a benefit of DevOps?

    <p>Increased need for manual deployments</p> Signup and view all the answers

    What is the purpose of a Service Account in Google Cloud?

    <p>To automate services and access resources</p> Signup and view all the answers

    The principle of least privilege aims to maximize access for users.

    <p>False</p> Signup and view all the answers

    Kubernetes is designed for automating the management of physical servers.

    <p>False</p> Signup and view all the answers

    What does TCO stand for in the context of cloud computing?

    <p>Total Cost of Ownership</p> Signup and view all the answers

    What is the purpose of Looker?

    <p>Business intelligence tool for exploring and visualizing data</p> Signup and view all the answers

    The ongoing costs for running business operations, such as cloud services, are referred to as ______.

    <p>OpEx</p> Signup and view all the answers

    Match the following Google Cloud products with their primary usage:

    <p>Compute Engine = Virtual machines Cloud Storage = Object storage solution BigQuery = Data warehousing for analytics Cloud Pub/Sub = Messaging service</p> Signup and view all the answers

    Which Google Cloud tool is used for managing and deploying containerized applications?

    <p>Google Kubernetes Engine</p> Signup and view all the answers

    Latency refers to the data transfer rate across a network.

    <p>False</p> Signup and view all the answers

    What is the primary role of Cloud Identity in Google Cloud?

    <p>Identity and access management for users</p> Signup and view all the answers

    What is the best structure to organize resources within an organization?

    <p>One folder per team</p> Signup and view all the answers

    Optimizing resource consumption is a long-term solution for managing resources in an organization.

    <p>False</p> Signup and view all the answers

    What is the primary benefit of gradually migrating workloads to the cloud?

    <p>It allows for utilizing resources as needed and reduces infrastructure management concerns.</p> Signup and view all the answers

    The top-level node of the hierarchy in an organization is called the ______.

    <p>Organization resource</p> Signup and view all the answers

    What action should not be taken to ensure long-term resource availability?

    <p>Invest in on-premises infrastructure</p> Signup and view all the answers

    Match the actions with their benefits regarding scaling applications and services:

    <p>Gradually migrate to the cloud = Leverages elasticity and reduces management overhead Optimize resource consumption = Ensures current resources are not exhausted Invest in on-premises infrastructure = Addresses immediate resource needs Automate deployments = Reduces operational costs</p> Signup and view all the answers

    Increasing resource consumption will guarantee positive financial growth for an organization.

    <p>False</p> Signup and view all the answers

    What is the recommended approach for a small organization looking to expand globally within two weeks?

    <p>Scale applications and services by migrating to the cloud.</p> Signup and view all the answers

    Which option correctly describes the advantages of IaaS?

    <p>Enables reliable scaling without focusing on infrastructure</p> Signup and view all the answers

    Using Compute Engine is ideal for minimizing operational overhead when deploying a microservices application.

    <p>False</p> Signup and view all the answers

    What is the main benefit of using App Engine for deploying a microservices application?

    <p>It is a fully managed platform that handles scaling automatically.</p> Signup and view all the answers

    ____________ allows businesses to scale efficiently without managing infrastructure.

    <p>IaaS</p> Signup and view all the answers

    Match the Google Cloud services with their appropriate functions.

    <p>Google Kubernetes Engine (GKE) = Requires managing a Kubernetes cluster Cloud Functions = Best for event-driven applications App Engine = Fully managed platform for microservices Compute Engine = Involves managing virtual machines</p> Signup and view all the answers

    Which Google Cloud product is the most suitable for handling large unstructured data quickly?

    <p>Cloud Bigtable</p> Signup and view all the answers

    Cloud Functions is the best choice for all types of microservices deployments.

    <p>False</p> Signup and view all the answers

    What is a significant disadvantage of hiring more engineers to solve scalability issues?

    <p>It increases costs without addressing the underlying problems.</p> Signup and view all the answers

    Which option allows for hybrid integration with a private cloud provider?

    <p>Using Google Cloud as a public cloud provider</p> Signup and view all the answers

    Migrating to a public cloud allows for a better costing model due to the pay-as-you-go advantage.

    <p>True</p> Signup and view all the answers

    What is a major advantage of using a public cloud provider compared to a private hosting provider?

    <p>Pay-as-you-go pricing model</p> Signup and view all the answers

    To improve reliable scaling and reduce maintenance burden, organizations should consider migrating to __________.

    <p>infrastructure-as-a-service</p> Signup and view all the answers

    Which of the following is NOT a recommendation for organizations experiencing unpredictable spikes in maintenance burden?

    <p>Hire more engineers for development</p> Signup and view all the answers

    Match the solution with its benefit:

    <p>Hybrid clouds = Allow gradual migration to public cloud Public cloud = Pay-as-you-go pricing Private hosting = Limited scalability options On-premises infrastructure = High maintenance burden due to spikes</p> Signup and view all the answers

    Investing in powerful servers will reduce latency for your services effectively.

    <p>False</p> Signup and view all the answers

    What is a solution for an organization facing a rapidly increasing data storage requirement?

    <p>Migrate to a public cloud provider</p> Signup and view all the answers

    Study Notes

    Cloud Fundamentals and Google Cloud Overview

    • Cloud computing is a model for delivering computing services over the internet
    • Benefits include scalability, flexibility, and cost-efficiency
    • Public cloud: Third-party-managed resources shared by multiple organizations (e.g., Google Cloud)
    • Private cloud: Resources used solely by one organization (on-premises or with a third-party provider)
    • Hybrid cloud: Combination of on-premises and cloud infrastructure
    • Multi-cloud: Utilizes multiple public cloud providers to avoid vendor lock-in and enhance flexibility

    Cloud Computing Models

    • IaaS (Infrastructure as a Service): Virtual machines, networking, storage. Virtualized infrastructure over the internet (e.g., Compute Engine).
    • PaaS (Platform as a Service): Managed runtime environments (e.g., Google App Engine)
    • SaaS (Software as a Service): Software solutions fully managed and accessible over the internet (e.g., Google Workspace).
    • Compute Power: The ability of a machine to process data, crucial for efficiency evaluation in cloud solutions

    Google Cloud Infrastructure

    • Regions and Zones: Physical locations. A region is a geographical area, a zone is a deployment area within a region.
    • Global Infrastructure: Understanding Google's data centers and global network.
    • Google Cloud Console and Cloud SDK: Tools for web interface or command-line interaction with Google Cloud.

    Cloud Storage

    • Buckets and Objects: Cloud Storage is an object storage service, storing data as objects in buckets
    • Storage Classes: Standard, Nearline, Coldline, and Archive for various use cases
    • Access Control: Using IAM roles to control who has access to storage

    Google Cloud Databases

    • Cloud SQL: Managed relational databases (e.g., MySQL, PostgreSQL)
    • Cloud Spanner: Globally distributed, horizontally scalable relational database.
    • Cloud Firestore and Datastore: NoSQL document databases.
    • Bigtable: NoSQL database designed for high-throughput workloads

    Data Management Concepts

    • Data Types:
      • Structured Data: Organized data, often stored in databases (e.g., customer information)
      • Unstructured Data: Data without organization, like media files and documents
      • Semi-structured Data: A hybrid of structured and unstructured, like XML or JSON files
    • Data Lake vs. Data Warehouse:
      • Data Lake: Stores raw, unprocessed data (both structured and unstructured)
      • Data Warehouse: A repository designed for structured data, optimized for fast querying and analysis
    • BigQuery: A data warehouse service allowing fast analysis of large datasets
    • Metadata: Data describing other data (e.g., file size, type)

    Digital Transformation and AI/ML

    • Digital Transformation: Businesses leveraging cloud technologies to change processes and customer interactions
    • AI & ML:
      • Artificial Intelligence (AI): Machines performing tasks requiring human intelligence
      • Machine Learning (ML): A subset of AI where systems learn from data and improve over time
    • Responsible AI: Ethical considerations in AI deployment, such as fairness and transparency

    Security and Compliance

    • Security Models:
      • Shared Responsibility Model: Cloud provider manages infrastructure security while customers manage cloud security (e.g., data encryption, access management).
      • Zero Trust Model: Assumes no one is trusted, requiring continuous verification before access is granted.
    • Encryption: Data protection by encoding
    • Compliance (e.g., GDPR, HIPAA): Adherence to laws, regulations
    • Defense-in-depth: Using multiple layers of security to protect data
    • Identity and Access Management (IAM): Roles and permissions(e.g., Viewer, Editor, Admin), and custom roles. Service accounts for automated services.

    Cost Management

    • Cost Management: Understanding Google Cloud tools for controlling costs (e.g., Google Cloud Cost Management)
    • Total Cost of Ownership (TCO): All costs associated with maintaining infrastructure, including hardware, software, maintenance, downtime, and support
    • Capital vs. Operational Expenditures (CapEx vs. OpEx): One-time purchases (CapEx), ongoing costs (OpEx).

    Monitoring and Management

    • Monitoring & Logging:
      • Cloud Logging: Tracks and analyzes logs from applications and infrastructure.
      • Cloud Monitoring: Provides metrics and insights for cloud infrastructure health.
    • SLA (Service Level Agreement), SLO (Service Level Objective), SLI (Service Level Indicator): Contract defining service availability and target performance measures for services

    DevOps and Automation

    • DevOps practices: Unify software development and IT operations for faster development
    • Containerization and Kubernetes:
      • Containers: Lightweight environments packaging and isolating software
      • Kubernetes: An open-source system for automating container deployment and management
    • Serverless Computing: Applications without server management
    • Rehosting: Moving applications to the cloud without changing them

    Advanced Analytics and Streaming

    • Streaming Analytics: Real-time analysis of generated data (e.g., Dataflow for pipeline processing)
    • Dataflow: Fully managed streaming and batch data processing service
    • Looker: Tool for business intelligence enabling data exploration and visualization

    Google Cloud Products

    • (Detailed descriptions of products like Compute Engine, Cloud Storage, App Engine, BigQuery, Cloud Run, Firebase, Looker, Cloud Pub/Sub, Cloud Deployment Manager, Cloud Build, Terraform, Cloud Operations Suite, Cloud Scheduler, Cloud Profiler, Cloud Trace)

    Sample Questions (and Feedback)

    • (Detailed analysis of the sample questions and solutions provided)

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    Related Documents

    Google Cloud Digital Leader Study Guide PDF

    Description

    Explore the basics of cloud computing, including its benefits and models such as IaaS, PaaS, and SaaS. Understand the differences between public, private, hybrid, and multi-cloud setups, with a focus on Google Cloud services and their advantages in facilitating scalability and cost-efficiency.

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