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WorksheetsTable of Content
Total questions: 10
Worksheet time: 5mins
Based on the Table of Content shown, which sequence correctly lists the first and last sections in order?
Introduction; Stream Computing
Characteristics; Architecture
Introduction; Advantages & Usecases
Architecture; Characteristics
Which statement best defines a data stream as shown in the Introduction to Stream Data Processing?
A fixed-size dataset processed periodically
A continuous, real-time flow of data
A historical archive of sensor readings
A static snapshot of social media data
Compare stream processing with batch processing using the description provided: In stream processing, data is _______ and the goal is to extract _______ and make instant decisions. Fill in the blanks.
processed as it arrives; real-time insights
processed in batches; historical data
stored first; delayed insights
analyzed after storage; periodic reports
Fill in the blank with the exact phrase from the slide: Stream data is _______ & _______; data keeps coming non-stop.
Continuous & Infinite
Discrete & Finite
Static & Limited
Periodic & Bounded
A fraud detection system must alert within milliseconds while ingesting logs, sensors, and app events. Using the slide’s characteristics, which TWO properties most directly justify the need for such low-latency, multi-source handling?
Continuous & Infinite
Real-time Processing: Low latency is critical.
Unbounded Data Size: Cannot store all data before processing.
Time-sensitive: Old data loses value quickly.
Heterogeneous Sources: From logs, sensors, apps, etc.
Based on the diagram, which component receives multiple "Streams entering" (e.g., sequences like 1,5,2,7,4,0,3,5; q,w,e,r,t,y,u,o; 0,1,1,0,1,0,0,0) and produces "Output streams" while also accepting "Ad-hoc Queries"?
Standing Queries
Stream Processor
Limited Working Storage
Archival Storage
In the Stream Model Architecture diagram, how do "Standing Queries" and "Ad-hoc Queries" interact with storage components to support processing over time, referencing the directional connections between the Stream Processor, Limited Working Storage, and Archival Storage?
Standing Queries continuously process incoming data and use Limited Working Storage for temporary results, while Ad-hoc Queries access Archival Storage for historical data.
Standing Queries only access Archival Storage, while Ad-hoc Queries use Limited Working Storage for real-time data.
Both Standing Queries and Ad-hoc Queries only interact with Limited Working Storage for all data needs.
Standing Queries and Ad-hoc Queries do not interact with any storage components in the architecture.
You are designing a stream computing pipeline using only the technologies explicitly listed. Choose one valid combination that uses a tool from each of the specified layers: data ingestion, stream processing, storage, and visualization.
Kafka → Spark Streaming → HDFS → Power BI
Flume → Storm → Cassandra → Grafana
Kinesis → Flink → MongoDB → Kibana
Logs → Flink → HDFS → Grafana
Which combination best captures the advantages of stream computing highlighted in the slide?
Batch-oriented processing with high latency
Real-time analytics and alerts
Reduced latency and faster decision-making
Scalable and fault-tolerant
The concluding slide of the document displays a short message. What exact two-word phrase is shown on the slide?
THANK YOU!
GOOD JOB!
WELL DONE!
SEE YOU!
