AWS CCP Exam Guide PDF

**AWS CCP Exam: Key Concepts for Compute and Storage Services** Below is a concise, easy-to-read guide to the **compute and storage services** you need to know for the AWS Certified Cloud Practitioner (CCP) exam. **1. AWS Compute Services** Compute services provide the infrastructure to run appli...

**AWS CCP Exam: Key Concepts for Compute and Storage Services** Below is a concise, easy-to-read guide to the **compute and storage services** you need to know for the AWS Certified Cloud Practitioner (CCP) exam. **1. AWS Compute Services** Compute services provide the infrastructure to run applications and workloads. **1.1 Amazon EC2 (Elastic Compute Cloud)** - **What it is:** Virtual servers in the cloud. - **Key Features:** - Fully customizable (choose CPU, RAM, storage, etc.). - Supports on-demand, reserved, spot, and savings plan pricing. - Scales manually or with Auto Scaling. - **Use Case:** Hosting web applications, databases, or other compute-intensive tasks. **1.2 AWS Lambda** - **What it is:** Serverless compute service to run code without managing servers. - **Key Features:** - Automatically scales with the workload. - Pay only for the time code runs (millisecond-level billing). - Event-driven (triggered by AWS services like S3, API Gateway, etc.). - **Use Case:** Real-time file processing or backend APIs. **1.3 AWS Elastic Beanstalk** - **What it is:** Platform as a Service (PaaS) for deploying and managing web applications. - **Key Features:** - Automatically provisions resources like EC2, S3, and RDS. - Supports multiple languages (Java, Python, Node.js, etc.). - Simplifies application lifecycle management. - **Use Case:** Quickly deploying web applications without deep infrastructure knowledge. **1.4 Amazon ECS (Elastic Container Service)** - **What it is:** Managed service to run Docker containers on AWS. - **Key Features:** - Works with EC2 or AWS Fargate (serverless containers). - Deeply integrated with AWS services like IAM, CloudWatch. - **Use Case:** Running microservices architectures. **1.5 AWS Fargate** - **What it is:** Serverless compute engine for containers. - **Key Features:** - No need to manage underlying EC2 instances. - Works with ECS and EKS (Elastic Kubernetes Service). - **Use Case:** Running containerized applications without managing servers. **1.6 AWS Lightsail** - **What it is:** Simplified cloud service for small projects. - **Key Features:** - Bundled compute, storage, and networking. - Pre-configured for applications like WordPress or development stacks. - **Use Case:** Hosting small websites or dev/test environments. **2. AWS Storage Services** AWS provides multiple types of storage optimized for different use cases. **2.1 Amazon S3 (Simple Storage Service)** - **What it is:** Object storage for any type of data (unstructured). - **Key Features:** - Highly scalable, durable (99.999999999% durability). - Lifecycle policies for automated transitions (Standard, Glacier, etc.). - Pay-as-you-go pricing. - **Use Case:** Backups, media storage, or static website hosting. **2.2 Amazon EBS (Elastic Block Store)** - **What it is:** Block storage for EC2 instances. - **Key Features:** - Persistent and high-performance. - Supports SSD (for transactional workloads) and HDD (for throughput-intensive workloads). - Can be backed up to S3. - **Use Case:** Storing data for databases or operating systems. **2.3 Amazon EFS (Elastic File System)** - **What it is:** Managed file storage for shared access. - **Key Features:** - Scales automatically with data size. - Provides multi-AZ availability. - Uses NFS protocol for compatibility. - **Use Case:** Centralized storage for applications requiring shared file systems. **2.4 Amazon Glacier & S3 Glacier Deep Archive** - **What it is:** Cold storage for long-term archiving. - **Key Features:** - Low-cost storage for rarely accessed data. - Retrieval times: Minutes (Glacier) to hours (Deep Archive). - **Use Case:** Compliance data storage or digital archives. **2.5 AWS Storage Gateway** - **What it is:** Hybrid storage for on-premises and cloud integration. - **Key Features:** - Interfaces: File, tape, and volume gateways. - Seamlessly moves data between on-premises and AWS. - **Use Case:** Backup and disaster recovery for on-premises environments. **3. Key AWS Features Relevant to Both Compute and Storage** **3.1 Elasticity and Scalability** - AWS automatically adjusts resources based on demand, ensuring cost efficiency and high availability. **3.2 High Availability** - Most AWS services provide multi-AZ (Availability Zone) redundancy to ensure uptime. **3.3 Security** - AWS offers robust security features, including: - **IAM (Identity and Access Management):** Fine-grained access control. - **Encryption:** Data encryption at rest (e.g., KMS) and in transit (e.g., HTTPS). **3.4 Pricing** - AWS services are generally **pay-as-you-go**, meaning you pay only for what you use. - Cost optimization strategies include reserved instances, auto-scaling, and lifecycle policies. **4. Comparison of Storage Categories** **Category** **Service** **Key Feature** **Use Case** -------------------- ------------- ------------------------------------- --------------------------------- **Block Storage** Amazon EBS High performance for EC2 instances. Databases or operating systems. **Object Storage** Amazon S3 Scalable for unstructured data. Backup and media hosting. **File Storage** Amazon EFS Shared access with scalability. Centralized file sharing. Let me know if you\'d like sample exam questions or more details! 😊 **Detailed Guide to Examinable Details for AWS CCP Exam** Here's a deeper dive into the examinable aspects of the compute and storage services covered earlier. These details are structured to align with the AWS Certified Cloud Practitioner exam syllabus. **1. AWS Compute Services** **1.1 Amazon EC2 (Elastic Compute Cloud)** - **Key Concepts:** - Virtual servers (instances) that run on-demand in AWS. - Highly customizable with instance types (General Purpose, Compute Optimized, etc.). - Includes Elastic Load Balancing (distributes traffic across instances). - Auto Scaling enables dynamic scaling of resources based on demand. - **Examinable Features:** - **Pricing Models:** - On-Demand: Pay per second (no long-term commitments). - Reserved: Commit to a term for lower costs. - Spot: Use spare capacity at reduced costs (can be interrupted). - Elastic IP addresses for static IP assignment. - Security via key pairs and security groups. - **Common Questions:** - \"Which pricing model is best for a steady workload?\"\ *(Answer: Reserved Instances)* **1.2 AWS Lambda** - **Key Concepts:** - Fully serverless; automatically scales with usage. - Supports multiple programming languages (Python, Node.js, Java, etc.). - Triggered by events from services like S3, DynamoDB, or API Gateway. - **Examinable Features:** - Pay for execution time only (billed in 1ms increments). - Limited to **15 minutes of execution time per invocation**. - Integrated monitoring via Amazon CloudWatch. - **Common Questions:** - \"What triggers an AWS Lambda function?\"\ *(Answer: Event-driven triggers like S3 uploads.)* **1.3 AWS Elastic Beanstalk** - **Key Concepts:** - Simplifies application deployment (automatically provisions resources). - Supports managed deployment and rollback. - **Examinable Features:** - Pre-configured environments (e.g., Node.js, Java, Python). - Provides automatic scaling, monitoring, and load balancing. - Developers retain control over the underlying resources. - **Common Questions:** - \"Which AWS service is best for deploying a web app without managing infrastructure?\"\ *(Answer: Elastic Beanstalk)* **1.4 Amazon ECS (Elastic Container Service)** - **Key Concepts:** - Fully managed service to run and manage containerized applications. - Works with EC2 or AWS Fargate. - **Examinable Features:** - Integration with IAM for secure access. - Supports Docker container orchestration. - **Common Questions:** - \"Which AWS service is used to run containerized applications?\"\ *(Answer: Amazon ECS)* **1.5 AWS Fargate** - **Key Concepts:** - Serverless container engine for Amazon ECS or EKS. - Removes the need to manage EC2 instances. - **Examinable Features:** - Pay based on the vCPU and memory resources consumed. - Designed for microservices architectures. - **Common Questions:** - \"What differentiates AWS Fargate from Amazon ECS?\"\ *(Answer: Fargate is serverless, ECS requires managing instances.)* **1.6 AWS Lightsail** - **Key Concepts:** - Simple cloud service for beginners or small projects. - Includes pre-configured instances and integrated storage. - **Examinable Features:** - Bundled pricing for compute, storage, and data transfer. - Best for hosting blogs, small websites, or development environments. - **Common Questions:** - \"Which AWS service is suitable for small websites with predictable pricing?\"\ *(Answer: AWS Lightsail)* **2. AWS Storage Services** **2.1 Amazon S3 (Simple Storage Service)** - **Key Concepts:** - Object storage designed for scalability and durability. - Data is stored as objects with unique keys. - **Examinable Features:** - **Storage Classes:** - S3 Standard: Frequently accessed data. - S3 Intelligent-Tiering: Automatically moves data between storage tiers. - S3 Glacier: Cold storage for long-term archiving. - Supports versioning, encryption (SSE), and access control (bucket policies, ACLs). - Lifecycle policies for automated data movement. - **Common Questions:** - \"Which storage class is best for infrequently accessed data?\"\ *(Answer: S3 Standard-IA or S3 Glacier)* **2.2 Amazon EBS (Elastic Block Store)** - **Key Concepts:** - Block storage designed for use with EC2. - Persistent storage that remains after EC2 instances are stopped. - **Examinable Features:** - **Volume Types:** - General Purpose SSD (gp3/gp2): Balanced performance. - Provisioned IOPS SSD (io1/io2): High performance for databases. - Cold HDD (sc1): Low-cost storage for infrequent access. - Snapshots can be stored in S3 for backups. - **Common Questions:** - \"What type of storage is best for a database on EC2?\"\ *(Answer: Provisioned IOPS SSD)* **2.3 Amazon EFS (Elastic File System)** - **Key Concepts:** - Scalable file storage for shared access. - Provides consistent, low-latency access. - **Examinable Features:** - Compatible with Linux-based applications using NFS protocol. - Two performance modes: General Purpose and Max I/O. - Automatically grows and shrinks with data usage. - **Common Questions:** - \"Which storage solution is best for shared access across multiple instances?\"\ *(Answer: Amazon EFS)* **2.4 Amazon Glacier & S3 Glacier Deep Archive** - **Key Concepts:** - Cost-effective storage for infrequently accessed data. - **Examinable Features:** - Retrieval times: - Glacier: Minutes to hours. - Glacier Deep Archive: Hours to 12 hours. - Best for compliance data or digital archives. - **Common Questions:** - \"What AWS storage service is most suitable for long-term data archiving?\"\ *(Answer: Amazon S3 Glacier)* **2.5 AWS Storage Gateway** - **Key Concepts:** - Hybrid cloud storage solution for on-premises environments. - **Examinable Features:** - **Gateway Types:** - File Gateway: Store files in S3. - Volume Gateway: Store volumes in S3 for disaster recovery. - Tape Gateway: Replace physical tape libraries. - **Common Questions:** - \"Which service enables integration between on-premises and AWS storage?\"\ *(Answer: AWS Storage Gateway)* Let me know if you want practice questions for any specific service! 😊 Below is a list of 100 potential questions covering **AWS Compute and Storage services** to help you prepare for your AWS Certified Cloud Practitioner (CCP) exam. **Amazon EC2 (Elastic Compute Cloud)** 1. What is Amazon EC2 used for? 2. Name two common use cases for Amazon EC2. 3. Which Amazon EC2 pricing model is best for workloads with a consistent, predictable usage pattern? 4. Which pricing model allows you to use spare capacity at lower costs? 5. What is an Elastic IP address in Amazon EC2? 6. What is the purpose of security groups in EC2? 7. Which AWS feature distributes incoming traffic across multiple EC2 instances? 8. What is the benefit of Amazon EC2 Auto Scaling? 9. What is the maximum duration of an EC2 Spot Instance before it might be interrupted? 10. Which Amazon EC2 storage type provides persistent block storage? **AWS Lambda** 11. What is AWS Lambda used for? 12. How does AWS Lambda differ from Amazon EC2? 13. How is AWS Lambda billed? 14. What is the maximum execution time for a single Lambda function? 15. Which service can trigger AWS Lambda functions? 16. Can AWS Lambda integrate with Amazon S3? How? 17. What is the maximum amount of memory you can allocate to a Lambda function? 18. What is the purpose of environment variables in Lambda? 19. Is AWS Lambda suitable for running long-running processes? Why or why not? 20. Name one AWS service that monitors Lambda function performance. **Elastic Beanstalk** 21. What type of service is AWS Elastic Beanstalk? 22. Which programming languages does Elastic Beanstalk support? 23. How does Elastic Beanstalk simplify deployment? 24. Does Elastic Beanstalk allow manual control of resources? 25. Name one feature of Elastic Beanstalk that automatically handles scaling. 26. Can you deploy containerized applications with Elastic Beanstalk? 27. How does Elastic Beanstalk handle updates? 28. Which AWS service provides monitoring for Elastic Beanstalk applications? 29. What happens to your resources if you delete an Elastic Beanstalk application? 30. Is Elastic Beanstalk suitable for microservices? Why or why not? **Amazon ECS and AWS Fargate** 31. What is Amazon ECS used for? 32. How does AWS Fargate differ from Amazon ECS? 33. Which service allows you to run Docker containers in AWS? 34. Name one benefit of using AWS Fargate. 35. Can Amazon ECS run on EC2 instances? 36. What is a task definition in Amazon ECS? 37. What is the relationship between ECS and IAM? 38. Name a use case for Amazon ECS. 39. Which service provides a serverless compute engine for containers? 40. Is Fargate cost-efficient for long-running containerized applications? Why? **AWS Lightsail** 41. What type of workloads is AWS Lightsail designed for? 42. Does Lightsail provide pre-configured environments? 43. Name one use case for AWS Lightsail. 44. What does Lightsail bundle in its pricing? 45. Can you integrate AWS Lightsail with Amazon RDS? 46. What is the advantage of Lightsail over EC2 for small applications? 47. Does Lightsail offer scalable resources? 48. Name one way AWS Lightsail simplifies networking. 49. Can you use Lightsail to deploy WordPress? 50. Is Lightsail suitable for enterprise-grade applications? Why or why not? **Amazon S3** 51. What type of storage does Amazon S3 provide? 52. What is an object in Amazon S3? 53. Name one use case for Amazon S3. 54. What is the durability of Amazon S3? 55. Name two S3 storage classes and their use cases. 56. What is the purpose of S3 bucket policies? 57. How is S3 Standard-IA different from S3 Standard? 58. What is S3 Intelligent-Tiering? 59. What is the purpose of versioning in S3? 60. Can S3 host a static website? **Amazon EBS** 61. What is Amazon EBS used for? 62. Name two types of EBS volumes. 63. Which EBS volume type is best for transactional workloads? 64. What is the difference between EBS and S3? 65. How does EBS handle data backups? 66. What is the purpose of EBS snapshots? 67. Can you attach an EBS volume to multiple EC2 instances? 68. Which EBS volume type is designed for low-cost storage? 69. Is Amazon EBS persistent storage? 70. What happens to an EBS volume when an EC2 instance is terminated? **Amazon EFS** 71. What is Amazon EFS? 72. Name one use case for Amazon EFS. 73. How does EFS differ from EBS? 74. What protocol does Amazon EFS use? 75. Can EFS be accessed by multiple EC2 instances? 76. What is the purpose of EFS lifecycle policies? 77. How does EFS scale? 78. Name the two performance modes of Amazon EFS. 79. Can EFS store data across multiple AZs? 80. Is Amazon EFS suitable for Windows-based applications? **Amazon Glacier** 81. What is Amazon Glacier used for? 82. Name one use case for Amazon Glacier. 83. How does Glacier differ from S3 Standard? 84. What are the retrieval times for Amazon Glacier? 85. What is Amazon S3 Glacier Deep Archive? 86. Which AWS service is best for compliance archiving? 87. Can Glacier data be encrypted? 88. What is the minimum storage duration for Glacier? 89. Does Glacier support lifecycle transitions from S3? 90. Is Glacier suitable for real-time data access? **AWS Storage Gateway** 91. What is AWS Storage Gateway? 92. Name three types of gateways provided by AWS Storage Gateway. 93. What is a File Gateway used for? 94. How does Volume Gateway work? 95. What is the purpose of Tape Gateway? 96. Name one use case for AWS Storage Gateway. 97. Can AWS Storage Gateway integrate with Amazon S3? 98. How does Storage Gateway support disaster recovery? 99. Is Storage Gateway suitable for migrating data to the cloud? 100. Does AWS Storage Gateway support hybrid architectures? Let me know if you\'d like detailed answers or additional practice! 😊 **. Amazon RDS (Relational Database Service)** - **Definition**: Managed service for relational databases like MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, and Amazon Aurora. - **Key Features**: - Automated backups and snapshots. - Multi-AZ (Availability Zone) deployment for high availability. - Read replicas for scaling read operations. - Supports encryption at rest and in transit. - **Use Cases**: - Enterprise applications with structured data (e.g., ERPs, CRMs). - Websites and applications requiring transactional databases. - **Benefits**: - Reduced operational overhead with automated maintenance and backups. - High availability and durability with Multi-AZ deployments. **2. Amazon Aurora** - **Definition**: A high-performance, cloud-native relational database compatible with MySQL and PostgreSQL. - **Key Features**: - Up to 5x faster than MySQL and 3x faster than PostgreSQL. - Auto-scaling storage up to 128 TB per database instance. - Aurora Serverless for on-demand scaling. - Global databases for low-latency access across regions. - **Use Cases**: - High-traffic applications requiring scalability and fault tolerance. - Multi-region read and write operations. - **Benefits**: - Cost-efficient scalability with serverless options. - High availability with replication across multiple availability zones. **3. Amazon DynamoDB** - **Definition**: A fully managed NoSQL database for key-value and document-based workloads. - **Key Features**: - Fully serverless with automatic scaling. - Single-digit millisecond latency. - DynamoDB Streams for real-time data processing. - Global Tables for multi-region replication. - Built-in backup and restore. - **Use Cases**: - IoT applications. - E-commerce platforms (e.g., shopping carts). - Mobile and web applications needing low-latency responses. - **Benefits**: - Scales automatically without provisioning infrastructure. - Ideal for variable workloads with pay-per-use pricing. **4. Amazon ElastiCache** - **Definition**: A fully managed in-memory caching service supporting Redis and Memcached. - **Key Features**: - Sub-millisecond latency for real-time applications. - Replication and clustering for high availability. - Seamless integration with AWS services. - **Use Cases**: - Accelerating database queries. - Session storage for web applications. - Real-time leaderboards and analytics. - **Benefits**: - Improves application performance by reducing database load. - Scalable and cost-effective for read-heavy workloads. **5. Amazon Redshift** - **Definition**: A fully managed, petabyte-scale data warehouse. - **Key Features**: - Columnar storage for high performance. - Massively parallel processing (MPP) for scalability. - Integrates with S3 for data lake architecture. - Redshift Spectrum for querying data in S3 without loading it. - **Use Cases**: - Business intelligence and analytics. - Reporting and data visualization tools. - Machine learning model training with large datasets. - **Benefits**: - Fast query performance for large datasets. - Cost-effective with pay-per-query pricing (Redshift Serverless). **6. Amazon Neptune** - **Definition**: A fully managed graph database service optimized for highly connected datasets. - **Key Features**: - Supports popular graph query languages like Gremlin and SPARQL. - Designed for high-availability with replication across multiple availability zones. - Backup and restore capabilities. - **Use Cases**: - Social networks and recommendation engines. - Fraud detection. - Knowledge graphs and network management. - **Benefits**: - Simplifies querying relationships between data. - Scalable and secure for graph-based applications. **7. Amazon DocumentDB** - **Definition**: A fully managed document database compatible with MongoDB. - **Key Features**: - Automatically scales storage up to 64 TB. - Multi-AZ deployments for high availability. - Supports JSON-based queries and data models. - **Use Cases**: - Content management systems (CMS). - Mobile and IoT applications. - Catalogs and user profiles. - **Benefits**: - Simplifies working with semi-structured data. - High performance and scalability for document workloads. **8. Amazon Keyspaces (for Apache Cassandra)** - **Definition**: A fully managed Cassandra-compatible database. - **Key Features**: - Serverless architecture with on-demand scaling. - Supports Cassandra Query Language (CQL). - Highly available with replication across multiple AWS regions. - **Use Cases**: - IoT and sensor data management. - Real-time messaging applications. - Log processing and analytics. - **Benefits**: - No need to manage Cassandra clusters. - Seamless integration with AWS services. **9. Amazon Timestream** - **Definition**: A fully managed time-series database service optimized for IoT and operational applications. - **Key Features**: - Stores and queries trillions of time-series events. - Data lifecycle management (hot and cold storage). - Built-in analytics for time-series data. - **Use Cases**: - Monitoring and telemetry. - IoT applications. - Financial market data analysis. - **Benefits**: - Cost-effective with automated data tiering. - Optimized for fast queries over time-series data. **10. Amazon QLDB (Quantum Ledger Database)** - **Definition**: A fully managed ledger database with a cryptographically verifiable transaction log. - **Key Features**: - Immutable, transparent, and cryptographically verifiable. - Serverless with automatic scaling. - SQL-like query language (PartiQL). - **Use Cases**: - Financial transactions and audit trails. - Supply chain tracking. - Government and healthcare record systems. - **Benefits**: - Simplifies building blockchain-like applications. - Eliminates the need for a complex blockchain setup. **11. Amazon Managed Blockchain** - **Definition**: A managed service to create and manage scalable blockchain networks. - **Key Features**: - Supports Hyperledger Fabric and Ethereum. - Simplifies the creation and management of blockchain networks. - Fully managed infrastructure. - **Use Cases**: - Decentralized applications (DApps). - Tokenized asset management. - Transparent supply chain systems. - **Benefits**: - Reduces complexity of setting up blockchain infrastructure. - Scales easily with minimal operational overhead. **Comparison of Key AWS Database Services** **Service** **Type** **Use Case** **Scalability** **Availability** ------------- ------------------ ------------------------------- ---------------------- ------------------ RDS Relational Structured data apps Vertical & Read Rep. Multi-AZ DynamoDB NoSQL High-velocity workloads Automatic Multi-region Redshift Data Warehouse Analytics and BI Elastic clusters Multi-AZ ElastiCache In-Memory Cache Fast reads & low-latency apps Horizontal Multi-AZ Neptune Graph Database Connected datasets Vertical Multi-AZ DocumentDB NoSQL (Document) JSON-based apps Vertical Multi-AZ Timestream Time Series IoT and monitoring Automatic Multi-AZ QLDB Ledger Database Immutable transaction records Vertical Multi-AZ