Simulado AWS Solutions Architect Associate SAA-C03

A marketing company wants to use AWS to process and analyze large volumes of customer data for targeted advertising campaigns. Which of the following options is the best way to improve the performance of a marketing company's customer data processing system on AWS while taking into account trade-offs with eventual consistency?

1. Implement caching data to store frequently accessed data in memory, but update or invalidate the cached data regularly to avoid incorrect system behavior ✓ (correta)
2. Migrate data to shared storage to reduce total storage requirements
3. Evaluate potential performance-related improvements when a performance issue has reached a critical point
4. Measure the impacts to the system and the user experience from trade-offs ✓ (correta)

A financial services company wants to run a highly available and secure infrastructure to process financial transactions. When considering data migration to storage services, what is the best practice for minimizing the resources provisioned while supporting your workload?

1. Store data files in efficient file formats such as Parquet to prevent unnecessary processing ✓ (correta)
2. Use energy-intensive, archival-class storage for infrequently accessed data
3. Use technologies that do not work natively with compressed data
4. Analyze your data access and storage patterns ✓ (correta)

A media company wants to store large amounts of data that will be used for thier applications When implementing a scale-out architecture to distribute traffic across multiple resources or services, which load balancer is best suited for load balancing of HTTP and HTTPS traffic?

1. Amazon Route 53
2. AWS Global Accelerator
3. Application Load Balancer ✓ (correta)
4. Network Load Balancer