Cloud Technology and Services

A data analytics team needs to run SQL queries against large volumes of log files stored in Amazon S3. The team wants to analyze the data without provisioning or managing any infrastructure, and they only want to pay for the queries they run. Which AWS service should they use?

A data analytics team needs to run SQL queries against large volumes of log files stored in Amazon S3. The team wants to analyze the data without having to load it into a database or manage any infrastructure. Which AWS service should they use?

A company has a web application that receives customer orders. The application currently writes orders directly to a database, but during peak traffic periods, the database becomes overwhelmed and order processing fails. The development team wants to decouple the order submission from order processing to ensure no orders are lost during traffic spikes. Which AWS service should they implement?

A media company records customer support phone calls and wants to automatically convert the recorded audio files into written text so the transcripts can be searched and analyzed. Which AWS service is best suited for this task?

A gaming company needs to store and retrieve player leaderboard data that updates frequently during gameplay. The application must support millisecond response times for both read and write operations, handle millions of concurrent users, and automatically scale based on demand. The data structure is simple key-value pairs with player IDs and scores. Which AWS database service should the company use?

A retail company is building an e-commerce application that requires a database to store shopping cart data. The cart data needs to be retrieved and updated with millisecond latency as customers add or remove items. The data structure is simple key-value pairs, and the application must scale automatically to handle unpredictable traffic spikes during sales events. Which AWS database service should the company use?

A legal firm has thousands of scanned paper documents stored as image files in Amazon S3. The firm needs to extract printed text, handwriting, and structured data from these documents to make them searchable and enable automated processing of forms and tables. Which AWS service should they use?

A financial services company needs to migrate their transaction processing system to AWS. The application requires strict ACID compliance, complex queries with JOIN operations, and the ability to scale read capacity during month-end reporting periods. Which AWS database service should they choose?

A financial analytics company needs to analyze petabytes of historical transaction data to identify trends and generate business intelligence reports. The data is structured and comes from multiple relational database sources. The solution must support complex queries across massive datasets and integrate with existing business intelligence tools. Which AWS database service should the company use?

A gaming company runs a leaderboard application that experiences very high read traffic with occasional writes when players complete games. The application currently uses Amazon RDS for MySQL, but response times are slow during peak hours due to repeated queries for the same leaderboard data. The company needs to improve read performance while minimizing changes to the application code. Which AWS service should the company implement?

A company needs to digitize thousands of scanned paper invoices stored as image files and extract text data such as vendor names, invoice numbers, and line items for analysis. The solution should require minimal machine learning expertise. Which AWS service should the company use?

A finance department receives thousands of scanned PDF and image-based invoices each month. They want an AWS service that can automatically extract printed text, form fields, and table data from these documents without requiring the team to build or train machine learning models. Which service best meets this requirement?

A finance company needs to automatically extract text, tables, and form data from thousands of scanned invoice documents in PDF format to populate their accounts payable system. Which AWS service should they use to accomplish this task?

A company receives thousands of scanned invoices daily in PDF format and needs to automatically extract text data including vendor names, invoice numbers, dates, and line items to store in a database for analysis. Which AWS service should they use to accomplish this task with minimal custom development?

A financial services company runs a critical transaction processing application that requires a relational database with automatic failover capabilities to ensure continuous availability. The database must remain operational even if an entire data center becomes unavailable. Which AWS database deployment approach should the company implement?

A financial services company is migrating its customer transaction database to AWS. The database must remain operational even if an entire data center fails. The company needs automatic failover with minimal downtime and no data loss. Which deployment approach should the company choose?

A media company needs to automatically generate thumbnail images whenever users upload videos to an S3 bucket. The workload is unpredictable, with periods of no activity followed by bursts of hundreds of uploads. The company wants to minimize costs and avoid managing servers. Which AWS compute service best meets these requirements?

A podcast company needs to automatically generate text transcriptions whenever new audio files are uploaded to their S3 bucket. The solution should require minimal infrastructure management and only incur costs when processing occurs. Which combination of AWS services best meets these requirements?

A social media company needs to automatically detect and flag inappropriate content in user-uploaded images before they are published to the platform. The solution must identify objects, scenes, and activities without requiring machine learning expertise from the development team. Which AWS service should be used?

A financial services company needs to analyze real-time stock market data as it arrives from multiple exchanges. The solution must process millions of events per second, provide immediate analytics on price movements, and store the data for historical analysis. Which AWS service should be used to ingest and process this streaming data in real-time?