Exam Bundle

Memory optimized EC2 prioritizes RAM resources for memory-intensive applications. This does not address the need for A simulation runs CPU-intensive calculations and needs an EC2 instance family designed for high processing capability. The appropriate Compute optimized EC2 applies because Compute-optimized instance families emphasize CPU-to-memory balance for compute-intensive workloads.

Storage optimized EC2 prioritizes high local-storage throughput and I/O. This does not address the need for A simulation runs CPU-intensive calculations and needs an EC2 instance family designed for high processing capability. The appropriate Compute optimized EC2 applies because Compute-optimized instance families emphasize CPU-to-memory balance for compute-intensive workloads.

General purpose EC2: Balances common compute, memory and networking requirements. This does not address the need for A simulation runs CPU-intensive calculations and needs an EC2 instance family designed for high processing capability. The appropriate Compute optimized EC2 applies because Compute-optimized instance families emphasize CPU-to-memory balance for compute-intensive workloads.

General purpose EC2: Balances common compute, memory and networking requirements. That does not meet the requirement: A batch workload performs continuous mathematical computation with relatively little data storage.

Storage optimized EC2 prioritizes high local-storage throughput and I/O. That does not meet the requirement: A batch workload performs continuous mathematical computation with relatively little data storage.

Memory optimized EC2 prioritizes RAM resources for memory-intensive applications. That does not meet the requirement: A batch workload performs continuous mathematical computation with relatively little data storage.

Storage optimized EC2 prioritizes high local-storage throughput and I/O. This does not address the need for A batch workload performs continuous mathematical computation with relatively little data storage. The appropriate Compute optimized EC2 applies because Compute-optimized instance families emphasize CPU-to-memory balance for compute-intensive workloads.

General purpose EC2: Balances common compute, memory and networking requirements. This does not address the need for A batch workload performs continuous mathematical computation with relatively little data storage. The appropriate Compute optimized EC2 applies because Compute-optimized instance families emphasize CPU-to-memory balance for compute-intensive workloads.

Memory optimized EC2 prioritizes RAM resources for memory-intensive applications. This does not address the need for A batch workload performs continuous mathematical computation with relatively little data storage. The appropriate Compute optimized EC2 applies because Compute-optimized instance families emphasize CPU-to-memory balance for compute-intensive workloads.

Amazon Redshift: Serves analytics warehousing SQL workloads. That does not meet the requirement: Consider this AWS requirement: An order-processing system needs a managed relational database with SQL and structured tables.

Amazon DynamoDB provides managed key-value and document NoSQL storage. That does not meet the requirement: Consider this AWS requirement: An order-processing system needs a managed relational database with SQL and structured tables.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. That does not meet the requirement: Consider this AWS requirement: An order-processing system needs a managed relational database with SQL and structured tables.

Amazon Redshift: Serves analytics warehousing SQL workloads. This does not address the need for An order-processing system needs a managed relational database with SQL and structured tables. The appropriate Amazon RDS applies because RDS supports managed relational database engines and routine database infrastructure operations.

Amazon DynamoDB provides managed key-value and document NoSQL storage. This does not address the need for An order-processing system needs a managed relational database with SQL and structured tables. The appropriate Amazon RDS applies because RDS supports managed relational database engines and routine database infrastructure operations.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This does not address the need for An order-processing system needs a managed relational database with SQL and structured tables. The appropriate Amazon RDS applies because RDS supports managed relational database engines and routine database infrastructure operations.

Amazon Redshift: Serves analytics warehousing SQL workloads. That does not meet the requirement: A company wants managed engines such as PostgreSQL for transactional applications.

Amazon DynamoDB provides managed key-value and document NoSQL storage. That does not meet the requirement: A company wants managed engines such as PostgreSQL for transactional applications.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. That does not meet the requirement: A company wants managed engines such as PostgreSQL for transactional applications.

Amazon DynamoDB provides managed key-value and document NoSQL storage. This does not address the need for A company wants managed engines such as PostgreSQL for transactional applications. The appropriate Amazon RDS applies because RDS supports managed relational database engines and routine database infrastructure operations.

Amazon Redshift: Serves analytics warehousing SQL workloads. This does not address the need for A company wants managed engines such as PostgreSQL for transactional applications. The appropriate Amazon RDS applies because RDS supports managed relational database engines and routine database infrastructure operations.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This does not address the need for A company wants managed engines such as PostgreSQL for transactional applications. The appropriate Amazon RDS applies because RDS supports managed relational database engines and routine database infrastructure operations.

Amazon Neptune provides a managed graph database. That does not meet the requirement: A technical reviewer evaluates this need: A company needs an AWS-managed relational database engine compatible with MySQL or PostgreSQL.

Amazon DynamoDB provides managed key-value and document NoSQL storage. That does not meet the requirement: A technical reviewer evaluates this need: A company needs an AWS-managed relational database engine compatible with MySQL or PostgreSQL.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. That does not meet the requirement: A technical reviewer evaluates this need: A company needs an AWS-managed relational database engine compatible with MySQL or PostgreSQL.

Amazon DynamoDB provides managed key-value and document NoSQL storage. This does not address the need for A company needs an AWS-managed relational database engine compatible with MySQL or PostgreSQL. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This does not address the need for A company needs an AWS-managed relational database engine compatible with MySQL or PostgreSQL. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

Amazon Neptune provides a managed graph database. This does not address the need for A company needs an AWS-managed relational database engine compatible with MySQL or PostgreSQL. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

Amazon DynamoDB provides managed key-value and document NoSQL storage. That does not meet the requirement: An application needs a cloud-optimized managed relational engine with high availability options.

Amazon Neptune provides a managed graph database. That does not meet the requirement: An application needs a cloud-optimized managed relational engine with high availability options.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. That does not meet the requirement: An application needs a cloud-optimized managed relational engine with high availability options.

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This does not address the need for An application needs a cloud-optimized managed relational engine with high availability options. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

Amazon DynamoDB provides managed key-value and document NoSQL storage. This does not address the need for An application needs a cloud-optimized managed relational engine with high availability options. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

Amazon Neptune provides a managed graph database. This does not address the need for An application needs a cloud-optimized managed relational engine with high availability options. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.