General Study Quiz Preparation

Auto scaling group of EC2 instances for compute nodes allows for scaling based on workload. It's recommended to configure the Auto Scaling group based on the Amazon SQS queue size for better workload indication.

Amazon S3 File Gateway provides a file interface to Amazon S3, supporting SMB and NFS protocols. It allows on-premises applications to seamlessly use Amazon S3 cloud storage.

S3 Lifecycle policies automate data transitions based on time or size. For example, transitioning data to Glacier Deep Archive after 7 days.

The company's limited storage capacity is nearing its limit, making it challenging to store increasing amounts of data.

The file server stores large files accessed frequently initially, then rarely after 7 days.

The company requires a solution to increase storage capacity without compromising access latency for recently accessed files.

S3 File Gateway offers a file interface to access S3, extending on-premises storage space.

S3 Lifecycle policies allow transitioning data to Glacier Deep Archive after 7 days, optimizing storage costs.

AWS Network Firewall is a managed service that helps protect your network resources from malicious traffic. It can filter and inspect traffic, blocking unwanted connections and preventing attacks.

AWS Network Firewall supports both inspection and filtering of network traffic.

Amazon QuickSight is a service that allows you to create interactive dashboards and reports from various data sources. It offers data visualization capabilities, enabling you to analyze and understand your data.

Amazon QuickSight allows you to connect and use data from Amazon S3 and Amazon RDS for PostgreSQL, making it suitable for analyzing data from a data lake.

Amazon QuickSight allows you to control user access to dashboards and reports through IAM roles and permissions, enabling you to grant different levels of access to different users.

Amazon RDS for PostgreSQL is a managed relational database service that offers scalability and security for PostgreSQL databases. It's a popular choice for data storage in data lakes.

Amazon S3 is a highly scalable and durable object storage service. It's ideal for storing data in a data lake, providing a cost-effective solution with high availability.

An AWS service that allows users to store, manage, and retrieve data securely and reliably.

An AWS service that allows users to run code without managing servers. Functions can be triggered by events or scheduled.

A managed messaging service that allows applications to communicate with each other asynchronously.

A service that allows you to monitor and respond to events in your AWS account. It can be used to trigger actions based on events in other services.

An AWS service that allows users to run virtual machines (VMs) in the cloud.

A collection of data that is stored and managed in a structured format, usually organized into rows and columns.

Independent units of software that perform a specific function.

A web-based user interface that allows users to interact with a particular application.

A storage class option within Amazon S3 designed for storing data that is rarely accessed and requires long-term retention. It offers the lowest storage cost, making it ideal for archiving data.

This feature within S3 automatically moves objects between storage classes based on defined rules and schedules. It helps optimize storage costs by placing data in the most appropriate class.

This storage class is suitable for data accessed frequently. It provides the highest performance and is ideal for frequently used data, such as active backups.

This storage class is designed for infrequently accessed data. It is ideal for data that is accessed less frequently, such as archived data.

This storage class provides a highly cost-effective option for infrequently accessed data by providing a single-zone availability model. This means that data is replicated within a single Availability Zone in a region.

A feature that leverages machine learning to automatically move data between storage classes based on access patterns. It helps optimize storage costs by automatically identifying data that is frequently accessed, infrequently accessed, or rarely accessed.

The process of keeping data safe and accessible over extended periods. It is crucial to ensure that data can be retrieved and used when needed.

The ability to retrieve data quickly and efficiently. This is essential for applications and services that require timely access to information.

Pausing an Amazon RDS DB instance when not in use can lead to cost savings, as usage is tracked only during active periods. Backups and automated maintenance are halted during this pause but restored upon restarting.

AWS provides AWS Config rules, which are customizable rule sets to evaluate AWS resources against best practices and company policies. These rules help identify resources with configurations outside of the set rules.

To ensure consistent application of tagging across diverse AWS resources (EC2 instances, RDS DB instances, Redshift clusters), AWS Config rules help detect and flag resources without the required tags.

When applying tags across multiple resources, like instances, DBs, and clusters, AWS Config rules automate the detection and notification process for resources lacking tags, significantly reducing manual effort.

To manage resource configurations in AWS, you can use AWS Config's predefined rules or customize your own to identify and alert on any deviation from your desired setup.

AWS Config rules use specific rules to evaluate if resources meet the defined configurations. When a rule is triggered, it reports the configuration issues to help manage your AWS resources.

AWS Config rules are designed to be flexible and customizable, allowing you to set rules that meet your specific needs for managing AWS resources.

To automate the tagging process across multiple resources in AWS, AWS Config rules can be used to define the tagging requirements and periodically evaluate resources to ensure compliance.

A website built with simple technologies like HTML, CSS, and Javascript, and does not need to process content on the server, making it fast and cost-effective.

A website that requires server-side processing, uses languages like PHP, Node.js, or ASP.NET, is slower than static websites, but allows for updates and interactions with databases.

Storing website content on an S3 bucket is the most cost-effective solution for static websites, because S3 is a cost-effective storage service that doesn't require server-side processing.

Amazon DynamoDB is a highly scalable, NoSQL database service that is perfect for managing large amounts of data and handling near-real-time transactions.

DynamoDB Streams allow other applications to be notified of any changes in a DynamoDB table, making data sharing near-real-time.

Sensitive data can be removed from transactions before storing them in a document database, ensuring that sensitive information is not stored in a database that is accessible by multiple applications.

Document databases are designed to store large amounts of unstructured data with fast retrieval capabilities.

This solution meets the requirements because it allows you to store and process transactions in near-real-time, share data with other applications, and remove sensitive data easily.