AWS Cloud Practitioner Practice Test (CLF-C02)

By activating cost allocation tags and tagging resources, the startup can categorize and track their spending in finer detail. This practice enables the organization to attribute costs to specific projects or teams, facilitating precise analysis and budgetary control. The ability to accurately assign and report expenses is crucial for companies to make informed decisions about resource utilization and cost-saving opportunities.

The statement is correct. On-premises environments usually involve significant upfront capital expenditure for hardware purchase, as well as ongoing costs for maintaining the physical space, such as rent or real estate, power, and cooling. These costs are incurred even if the demand for resources fluctuates, leading to potential inefficiencies when resources are underutilized.

The hybrid deployment model integrates both cloud-based resources and on-premises infrastructure, offering flexibility and enabling various use cases, such as gradual cloud migration, disaster recovery, and compliance with regulatory requirements.

The 'Snowball' device is the correct answer because it's purpose-built to physically transport substantial quantities of data into and out of the cloud infrastructure. This service is particularly useful when dealing with limitations in internet bandwidth or when transferring data would otherwise be time-consuming or costly. The 'Snowcone' device is more compact and suited for edge computing and data transfer jobs of a smaller scale. 'DataSync' is a service that facilitates online data transfers, without providing a physical transport solution. The 'Migration Hub' is more of a management tool to track applications during the migration but doesn't offer data transport. 'Simple Storage Service (S3)' does provide cloud storage but doesn't include a physical data transfer solution. 'Glue' is for data integration and does not involve physical data transfer devices.

AWS Aurora's serverless option automatically adjusts the database capacity in fine-grained increments to match the workload demand, which allows handling unpredictable workload spikes in a cost-efficient manner without the need for provisioning and managing scaling operations. Unlike a self-hosted database on Amazon EC2 or using read replicas, which requires manual intervention or planning for maximum capacity, Aurora Serverless provides an on-demand auto-scaling capability.

Elasticity is a key advantage of cloud computing that allows systems to dynamically scale resources according to fluctuating workloads. This feature is particularly useful for a retail business experiencing variable demand levels, as it ensures that their customer-facing applications can handle spikes in usage during peak seasons or promotional events without manual intervention. This avoids the risks of system overload and enhances the user experience while also controlling costs by not having to maintain excess idle resources.

DynamoDB does not allow the modification of an item's primary key once it has been created. To 'change' a primary key, the item must be deleted and re-created with the new key. This enforces a rigid schema on the primary key level while allowing flexibility in the attributes. Test takers might be tempted to select the wrong answer due to the flexible schema nature of NoSQL databases, but understanding the immutable nature of the primary key is essential when designing DynamoDB tables.

Amazon EC2 Reserved Instances offer flexibility that includes the ability to modify instances, but modifications are subject to certain limitations. You can change the Availability Zone, the scope (regional or a specific Availability Zone), and the instance size within the same instance family, but you cannot switch between different instance families. This constraint is designed to maintain the reserved capacity for a particular family due to demand and capacity planning by AWS.

The service best suited for consolidating security alert notifications and prioritizing them is AWS Security Hub, as it provides a central location to view and manage security and compliance states across your resources. Its functionality extends to collecting security data from various sources and helping you understand your AWS security and compliance posture. On the other hand, AWS Shield focuses primarily on DDoS protection, Amazon Inspector on the assessment of application security, and AWS Config on tracking and management of resource configurations, without the specific emphasis on centralized security event management and compliance reporting.

The correct service for ongoing replication and real-time data synchronization is the Database Migration Service. When you need to move databases with minimal downtime and require continuous replication, this service is the optimal choice. It not only allows for the migration of data but also keeps the databases in sync during the migration process.

• The Snapshot feature within the Relational Database Service platform is primarily for backups, not for ongoing replication or real-time synchronization.
• The Schema Conversion Tool is mainly utilized for converting database schemas for migration purposes, but it does not handle real-time data replication.
• DataSync is more suitable for large-scale data transfer tasks and does not specialize in the specific requirements of ongoing database replication or synchronization.

Lifecycle policies in Amazon S3 allow for the automatic transition of objects between different storage classes and the configuration of object expiration. In this case, utilizing lifecycle policies enables the company to reduce storage costs by automatically moving objects to a lower-cost storage option after 30 days and deleting objects no longer needed after 365 days, thus ensuring cost optimization and adherence to data retention policies. The other options do not provide automatic transitioning or expiration based on object age which is a requirement as stated in the question.

This statement is not true because there are several methods to launch Amazon EC2 instances including the AWS Management Console, the AWS Command Line Interface (CLI), AWS SDKs, and infrastructure as code tools like AWS CloudFormation. While the Management Console is a user-friendly, web-based interface for deploying and managing EC2 instances, the other methods provide more automation and can be better suited for repeatable, programmable deployments.

The correct answer is 'You pay only for the resources you consume.' This is in contrast to traditional on-premises environments where companies incur significant upfront capital expenses for hardware that may not always be utilized to its full capacity. AWS operates on a pay-as-you-go model, allowing customers to scale their usage up or down based on demand and pay only for the services they use. This shift from fixed to variable costs is a key economic benefit of the AWS Cloud.

AWS S3 Glacier Deep Archive is the most cost-effective storage option provided by AWS for long-term data archiving where data is retrieved infrequently and retrieval times of 12 hours or longer are acceptable. S3 Standard and S3 Intelligent-Tiering are not optimized for such specific long-term archiving needs, and they incur higher storage costs compared to Glacier Deep Archive. S3 One Zone-IA is cost-effective for infrequently accessed data, but not as much as Glacier Deep Archive for long-term archiving.

Under the shared responsibility model, the provider is responsible for the security 'of' the cloud, which encompasses the physical infrastructure, including data center facilities, servers, and networking equipment. Customers are responsible for security 'in' the cloud, which can include managing their guest operating systems, configuring IAM, and encrypting client-side data.