Building Resilient Streaming Analytics Systems on GCP All Quiz Answer

Building Resilient Streaming Analytics Systems on GCP All Quiz Answer

Building Resilient Streaming Analytics Systems on GCP 

All Quiz Answer





Introduction to Processing Streaming Data


Q1) 

Q2) Match the GCP product with its role when designing streaming systems

Product Role

__ 1. Pub/Sub A. Controls to handle late-arriving and out-of-order data

__ 2. Dataflow B. Global message queue

__ 3. BigQuery C. Latency in the order of milliseconds when querying against overwhelming volume

__ 4. Bigtable D. Query data as it arrives from streaming pipelines


  • B
  • A
  • D
  • C



Serverless Messaging with Cloud Pub/Sub


Q1) Which of the following about Cloud Pub/Sub is NOT true?

  • Pub/Sub stores your messages indefinitely until you request it


Q2)Cloud Pub/Sub guarantees that messages delivered are in the order they were received

  • False


Q3) Which of the following about Cloud Pub/Sub topics and subscriptions are true ?

  • 1
  • 2


Q4) Which of the following delivery methods is ideal for subscribers needing close to real time performance?

  • Push Delivery



Cloud Dataflow Streaming Features


Q1) The Dataflow models provides constructs that map to the four questions that are relevant in any out-of-order data processing pipeline:

Questions Constructs
__ 1. What results are calculated? A. Answered via Event-time windowing
__ 2. Where in event time are results calculated? B. Answered via transformations
__ 3. When in processing time are results materialized? C. Answered via Accumulation modes
__ 4. How do refinements of results relate? D. Answered via Watermarks, triggers, and allowed lateness.


  • B
  • A
  • D
  • C




Streaming Analytics and Dashboards


Q1) Which of the following is true for Data Studio ?
  • Data Studio supports data ingest thought multiple connectors.

Q2)Data Studio can issue queries to BigQuery ?
  • True




High-Throughput Streaming with Cloud Bigtable

Q1) Which of the following are true about Cloud Bigtable ?
  • Offers very low-latency in the order of milliseconds
  • Ideal for >1TB data
  • Great for time-series data

Q2) Cloud Bigtable learns access patterns and attempts to distribute reads and storage across nodes evenly
  • True

Q3) Which of the following can help improve performance of Bigtable ?
  • Change schema to minimize data skew
  • Clients and Bigtable are in same zone
  • Add more nodes



BigQuery advanced functionality and performance considerations

Q1)Which of the following practices help optimize BigQuery queries?
  • Put the largest table on the left
  • Filter early and often
  • Avoid using unnecessary columns


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