Building Resilient Streaming Analytics Systems on GCP Quiz Answers

Introduction to Processing Streaming Data

Q1. Dataflow offers the following that makes it easy to create resilient streaming pipelines when working with unbounded data:
(Select all 2 correct responses)

Ability to flexibly reason about time
Controls to ensure correctness
Global message bus to buffer messages
SQL support to query in-process results

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

Serverless Messaging with Cloud Pub/Sub

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

Pub/Sub simplifies systems by removing the need for every component to speak to every component
Pub/Sub connects applications and services through a messaging infrastructure
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
True

Q3. Which of the following about Cloud Pub/Sub topics and subscriptions are true? (Select all 2 correct responses)

1 or more publisher(s) can write to the same topic
1 or more subscriber(s) can request from the same subscription
Each topic will deliver ALL messages for a topic for each subscriber
Each topic MUST have at least 1 subscription

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

Pull Delivery
Push Delivery

Cloud Dataflow Streaming Features

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

Streaming Analytics and Dashboards

Q1. Which of the following is true for Data Studio?

Data Studio can only ingest files stored in Cloud Storage buckets.
Data Studio supports data ingest through multiple connectors.
Data Studio is part of Dataflow and requires a streaming pipeline for data ingest.
Data Studio is part of Google BigQuery and requires data to already exist in tables.

Q2. Data Studio can issue queries to BigQuery

True
False

High-Throughput Streaming with Cloud Bigtable

Q1. Which of the following are true about Cloud Bigtable? (Mark all 3 correct responses)

Offers very low latency in the order of milliseconds
Ideal for >1TB data
Great for time-series data
Support for SQL

Q2. Cloud Bigtable learns access patterns and attempts to distribute reads and storage across nodes evenly

True
False

Q3. Which of the following can help improve the performance of Bigtable? (Select all 3 correct responses)

Change schema to minimize data skew
Clients and Bigtable are in same zone
Use HDD instead of SDD
Add more nodes

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