Building Resilient Streaming Analytics Systems on Google Cloud Coursera Quiz Answers
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Building Resilient Streaming Analytics Systems on Google Cloud Coursera Quiz Answers
Introduction to Processing Streaming Data Quiz Answers
Question 1)
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 Quiz Answers
Question 1)
Which of the following about Cloud Pub/Sub is NOT true?
- Pub/Sub stores your messages indefinitely until you request it
Question 2)
Cloud Pub/Sub guarantees that messages delivered are in the order they were received
- False
Question 3)
Which of the following about Cloud Pub/Sub topics and subscriptions are true ?
- 1
- 2
Question 4)
Which of the following delivery methods is ideal for subscribers needing close to real time performance?
- Push Delivery
Cloud Dataflow Streaming Features Quiz Answers
Question 1)
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 Quiz Answers
Question 1)
Which of the following is true for Data Studio ?
- Data Studio supports data ingest thought multiple connectors.
Question 2)
Data Studio can issue queries to BigQuery ?
- True
High-Throughput Streaming with Cloud Bigtable Quiz Answers
Question 1)
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
Question 2)
Cloud Bigtable learns access patterns and attempts to distribute reads and storage across nodes evenly
- True
Question 3)
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 Quiz Answers
Question 1)
Which of the following practices help optimize BigQuery queries?
- Put the largest table on the left
- Filter early and often
- Avoid using unnecessary columns