A. Real-time data synchronization
B. Efficient storage of hierarchical data
C. Optimized query performance on large datasets
D. High-speed transaction processing
A. A failed ETL job should be re-run immediately without taking any corrective actions.
B. ETL jobs should be flexible to source data changes such as new variables or attributes.
C. ETL jobs should be manually executed and monitored to ensure the highest quality.
D. A failed ETL job should always be marked as completed so that any other scheduled jobs can execute.
A. Support data exfiltration from a pod
B. Apply API authorization on a cluster
C. Enable management of application secrets
D. Limit resource usage on a cluster
A. In-memory storage
B. Columnar storage
C. File-based storage
D. Object-based storage
A. Cloud computing
B. Edge computing and IoT devices
C. Quantum computing
D. Big data analytics
A. Exploring and examining data to find hidden patterns
B. Transforming data into a format that can be easily analyzed
C. Presenting financial benefits to executive stakeholders
D. Planning and performing A/B testing
A. Binary
B. ASCII
C. Unicode
D. Static
A. Avoiding error handling and monitoring
B. Using a single tool for all pipeline components
C. Ensuring data quality and validation
D. Using a monolithic design for simplicity
A. Cassandra
B. Amazon S3
C. HDFS
D. MongoDB
A. Any message published to a topic is received only by a few subscribers to that topic
B. Any message published to a topic is immediately received by all the subscribers to that topic
C. Messages can be dynamically moved between topics to improve the overall throughput of the system
D. Messages stored are deduplicated automatically to increase the overall storage capacity of a topic
