A startup wants to deploy a collaboration tool for its remote workforce without any upfront investment in infrastructure or software licenses. Which cloud service model would be most suitable for this requirement?
- FaaS (Function as a Service)
- IaaS (Infrastructure as a Service)
- PaaS (Platform as a Service)
- SaaS (Software as a Service)
The most suitable cloud service model for the startup's requirement is SaaS. SaaS applications are hosted in the cloud and accessible on a subscription basis, eliminating the need for infrastructure investment. It's an ideal choice for cost-effectively providing collaboration tools.
Which of the following is NOT a requirement under GDPR for data processors and controllers?
- Appointment of a Data Protection Officer
- Data backup and retention policies
- Data breach notification
- Data encryption at rest
GDPR, the General Data Protection Regulation, does not explicitly require data backup and retention policies. However, it emphasizes data protection, breach notification, and the appointment of a Data Protection Officer.
In the context of ML services, cloud providers often offer ________ to help developers without in-depth machine learning knowledge build models.
- AutoML
- Blockchain services
- Container orchestration
- GPU instances
AutoML refers to Automated Machine Learning, a service offered by cloud providers that automates the process of building machine learning models, making it accessible to developers with limited ML expertise.
AWS Lambda integrates with AWS ________ to enable function execution in response to data modifications in Amazon RDS, Amazon DynamoDB, and other sources.
- AWS EventBridge
- AWS Kinesis
- AWS SNS
- AWS SQS
AWS Lambda integrates with AWS EventBridge to respond to events and data changes in various AWS services like RDS and DynamoDB.
Azure Machine Learning supports _______ as a scripting language for creating and managing machine learning models.
- C#
- Java
- Python
- R
Azure Machine Learning supports Python as a scripting language, offering a versatile and widely used language for creating and managing machine learning models in the Azure environment.
In Azure, the effective security rules for a network interface are determined by evaluating the rules from both NSGs and _______.
- ASGs (Application Security Groups)
- NVA (Network Virtual Appliance)
- UDRs (User Defined Routes)
- UTM (Unified Threat Management)
The effective security rules for a network interface are determined by the combination of NSG and ASG rules. ASGs help in grouping VMs for fine-grained security policies.
What is the primary function of ARM Templates in Azure?
- Infrastructure as Code
- Resource monitoring
- Resource organization
- Resource provisioning
ARM Templates in Azure are used for Infrastructure as Code (IaC), allowing you to define and deploy resources in a declarative manner.
How does the implementation of role-based access control (RBAC) in Azure enhance security and compliance?
- Allows unrestricted access to all resources
- Enables granular control over access permissions
- Grants full access to everyone by default
- Provides a single, universal role for all users
RBAC in Azure enhances security by allowing fine-grained control over access permissions, ensuring users have the minimum required access for their roles, thereby promoting compliance.
_______ compliance in Azure Policy helps organizations adhere to external regulations and standards.
- Compliance
- Legislative
- Regulatory
- Security
Compliance in Azure Policy ensures organizations follow external regulations and standards, promoting a secure and compliant environment.
Azure IoT solutions can integrate with _______ for advanced analytics and machine learning capabilities.
- Azure Data Lake Storage
- Azure Databricks
- Azure Machine Learning
- Azure Synapse Analytics
Azure IoT solutions can integrate with Azure Databricks for advanced analytics and machine learning capabilities, enabling powerful insights from IoT data.