A solutions architect is implementing a complex Java application with a MySQL database. The Java application must be deployed on Apache Tomcat and must be highly available.
What should the solutions architect do to meet these requirements?
A company hosts a data lake on Amazon S3. The data lake ingests data in Apache Parquet format from various data sources. The company uses multiple transformation steps to prepare the ingested data. The steps include filtering of anomalies, normalizing of data to standard date and time values, and generation of aggregates for analyses.
The company must store the transformed data in S3 buckets that data analysts access. The company needs a prebuilt solution for data transformation that does not require code. The solution must provide data lineage and data profiling. The company needs to share the data transformation steps with employees throughout the company.
Which solution will meet these requirements?
A company runs a microservice-based serverless web application. The application must be able to retrieve data from multiple Amazon DynamoDB tables. A solutions architect needs to give the application the ability to retrieve the data with no impact on the baseline performance of the application.
Which solution will meet these requirements in the MOST operationally efficient way?
A company needs to store contract documents. A contract lasts for 5 years. During the 5-year period, the company must ensure that the documents cannot be overwritten or deleted. The company needs to encrypt the documents at rest and rotate the encryption keys automatically every year.
Which combination of steps should a solutions architect take to meet these requirements with the LEAST operational overhead? (Select TWO.)