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Which pattern is essential in ensuring that microservices can independently scale based on their individual needs?

  • Circuit Breaker
  • Event Sourcing
  • Load Balancing
  • Service Discovery
Load Balancing is essential to distribute the traffic evenly among microservices, enabling independent scaling based on their needs.
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Which functionality would you typically NOT find in a standard ERP system?

  • Customer Relationship Management (CRM)
  • Financial Accounting
  • Human Resource Management
  • Inventory Management
A standard ERP system typically does not include CRM functionalities. ERP focuses on core business operations like finance, HR, and inventory, while CRM specializes in managing customer relationships. Integrating both systems is common but not inherent in ERP.
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The primary difference between ERP and CRM is that ERP focuses on ________ while CRM focuses on ________.

  • Customer Engagement
  • Data Security
  • Internal Business Processes
  • Social Media Marketing
The primary difference between ERP and CRM is that ERP focuses on internal business processes, such as financials and supply chain, whereas CRM focuses on customer engagement, helping businesses build and maintain strong relationships with customers through better interactions and service.
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The cloud computing model in which the infrastructure is provisioned for exclusive use by a single organization comprising multiple consumers is called ________.

  • Community Cloud
  • Hybrid Cloud
  • Private Cloud
  • Public Cloud
A Private Cloud is established exclusively for a single organization, offering dedicated infrastructure to ensure security and control over cloud resources.
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Which of the following best describes the relationship between IoT and the Cloud?

  • IoT devices are entirely separate from the cloud
  • IoT devices connect directly to the cloud
  • IoT devices use the cloud for data storage and analysis
  • IoT devices use the cloud for power supply
The relationship between IoT and the Cloud is that IoT devices use the cloud for data storage and analysis. IoT devices generate a vast amount of data, and the cloud provides the infrastructure for storing and processing this data efficiently.
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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.
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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.
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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.
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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.
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An organization is setting up a system where every time a new row is added to a Google BigQuery table, some computations should be performed, and the results sent to an external API. Which Google Cloud service would facilitate this behavior?

  • Google Cloud App Engine
  • Google Cloud Dataflow
  • Google Cloud Functions
  • Google Cloud Pub/Sub
Google Cloud Dataflow is designed for real-time data processing and can be used to process new rows in BigQuery and send results to an external API.
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