Google BigQuery is known for its fast SQL analytics across large datasets, leveraging the power of ________.
- Artificial Intelligence
- Cloud Computing
- Distributed Computing
- Machine Learning
Google BigQuery leverages the power of cloud computing, allowing it to perform fast SQL analytics across large datasets by distributing the workload.
Application virtualization is primarily concerned with:
- Isolating applications
- Managing server hardware
- Optimizing network usage
- Virtualizing data centers
Application virtualization isolates applications from the underlying system, enabling compatibility, portability, and conflict resolution.
Which of the following is a common indicator that might suggest a potential insider threat?
- Consistent work hours
- Frequent access to data
- High job satisfaction
- Strict adherence to policies
Frequent access to data beyond what is necessary for one's role may indicate an insider threat, as they might be gathering information for malicious purposes. Monitoring such behavior is crucial in preventing threats.
Which essential characteristic of cloud computing is emphasized by the on-demand self-service feature?
- Broad Network Access
- Measured Service
- Rapid Elasticity
- Self-Service Capabilities
The "on-demand self-service" feature emphasizes "Self-Service Capabilities." This is one of the key characteristics, enabling users to provision and manage services on-demand without human intervention, enhancing agility and reducing administrative burden.
A multinational corporation collects data from various sources, including IoT devices, web logs, and customer interactions. They need a solution that can store vast amounts of diverse data and make it available for advanced analytics. Which solution would best fit their needs?
- Amazon S3
- Hadoop Distributed File System (HDFS)
- MongoDB
- PostgreSQL
For a corporation with diverse data sources, HDFS is a distributed file system designed to store and analyze big data. It can handle a wide range of data types, making it suitable for advanced analytics.
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.
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.
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.
Google BigQuery is primarily used for:
- Analyzing and querying large datasets
- Hosting websites
- Managing virtual machines
- Storing data
Google BigQuery is primarily used for analyzing and querying large datasets. It's a fully-managed, serverless, and highly scalable data warehouse that allows for fast and SQL-like querying of large datasets.
For monitoring and logging the behavior of Google Cloud Functions, one can use Google ________.
- Cloud Analytics
- Cloud Dashboard
- Cloud Diagnostics
- Cloud Logging
Google Cloud Logging is a service that allows you to monitor, store, and analyze logs generated by Google Cloud Functions and other services.