Practice Test 2 | Google Cloud Certified Professional Cloud Architect | Dumps | Mock Test
Helicopter Racing League (HRL) wants to collect and process the information on stored video content and user behavior (number of accesses, connection times, site interactions, social engagement). All the information collected must then be processed in live dashboards and stored in such a way that it can be subsequently analyzed and be a source of insights and forecasts.
Which of the following techniques are suitable for these solutions (pick 4 events – ingestion – processing and storage ) in the easiest and fastest way?
A. Cloud Run notifications for Cloud Storage and user interactions
B. Pub/Sub notifications for Cloud Storage and user interactions
C. Dataflow for real-time video analytics/ Data Processing
D. BigTable for real-time video analytics/ Data Processing
E. Video Intelligence APIs for getting video metadata
F. AutoML Video for getting video metadata
G. Cloud SQL for storage and data analytics
H. BigQuery for storage and data analytics
Correct Answers: B, C, E and H
You need to get data as soon as it is produced and the best and simplest method for this is Pub/Sub, that can be called by Cloud Storage events and by any other GCP processing in a decoupled way.
Dataflow is the tool for both streaming and batch processing of data.
The aim of Video Intelligence APIs is to get many types of metadata from Video sources.
BigQuery is the main analytics tool for getting data insight for future ML processing.
- A is wrong because Cloud Run is event driven but you have to code and it is not designed for application decoupling in a global way.
- D is wrong because BigTable is a powerful noSQL Database, so its aim is to store not to process data.
- F is wrong because AutoML Video is a ML classification tool and Video Intelligence APIs can detect a broader range of metadata
- G is wrong because Cloud SQL is a regional SQL DB and not a serverless Analytics like BigQuery
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