SaaS applications typically offer extensive ________ capabilities to cater to a diverse set of customers.
- Backup
- Customization
- Networking
- Printing
SaaS applications often provide extensive customization capabilities to adapt the software to the specific needs of diverse customers. This flexibility is a key feature of SaaS.
Why are cloud-based data lakes preferred over traditional data warehouses for storing big data?
- Data Security and Reliability
- Query Performance and Structured Data
- Real-time Data Processing
- Scalability and Cost-Effectiveness
Cloud-based data lakes are preferred due to their scalability and cost-effectiveness. They can seamlessly scale to handle massive amounts of data while offering a pay-as-you-go pricing model. This is crucial for big data workloads where storage needs can grow significantly.
An e-commerce company is planning to set up a cloud-based CI/CD pipeline. They want to ensure that their application, once containerized, can be stored, versioned, and easily retrieved for deployments. Which component is essential in their CI/CD setup?
- Artifact Repository
- CI Server
- Container Registry
- Load Balancer
A Container Registry is essential to store, version, and retrieve containerized applications, ensuring they are available for deployment in the CI/CD pipeline.
A company notices that its proprietary software code is available on the dark web. While investigating, they find out that an employee with access rights to the code repository was responsible. This situation is an example of:
- Distributed Denial of Service (DDoS) Attack
- Insider Threat
- Phishing Attack
- Ransomware Attack
This scenario is a classic example of an insider threat, where an employee with authorized access misuses their privileges, leading to a data breach.
One of the primary reasons for unexpected cloud costs is ________.
- Cloud Security
- Cost Allocation
- Data Backup Policies
- Overprovisioning
Overprovisioning, or allocating more resources than necessary, can lead to unexpected cloud costs. It's essential to right-size resources to avoid unnecessary expenses while ensuring adequate performance.
Which of the following best describes the architecture of modern cloud-based analytics tools?
- Legacy, Proprietary, and Limited Data Sources
- Monolithic, On-Premises, and Batch Data Processing
- Serverless, Scalable, and Distributed Data Processing
- Single-Tenant, Centralized, and Traditional Data Warehousing
Modern cloud-based analytics tools typically feature a serverless, scalable, and distributed architecture to handle diverse data processing workloads efficiently.
Which part of a cloud computing system is directly accessed and interacted with by the user?
- Cloud Service
- Data Center
- User Interface
- Virtual Machine
The "User Interface" is the component of a cloud computing system that users directly access to interact with the cloud services, applications, and data.
The concept of accessing computing resources over the internet is closely related to:
- Social networking sites
- Internet of Things (IoT)
- E-commerce
- Cloud Services
Accessing computing resources over the internet is the foundation of cloud services. While the other options do use the internet, they don't represent the idea of harnessing computing power and resources directly over the internet in the same way cloud services do.
Which of the following is a popular analytics tool offered by Amazon Web Services?
- Amazon Athena
- Amazon Elastic Compute Cloud (EC2)
- Amazon Relational Database Service (RDS)
- Amazon S3 (Simple Storage Service)
Amazon Athena is a serverless, interactive query service offered by AWS for querying data in Amazon S3 using SQL. It's a popular choice for ad-hoc data analysis and exploration.
Kubernetes is best described as:
- Cloud Hosting Service
- Container Orchestration System
- Database Management System
- Virtualization Platform
Kubernetes is best described as a container orchestration system. It automates the deployment, scaling, and management of containerized applications.