Practice Test 1 | Google Cloud Certified Professional Cloud Architect | Dumps | Mock Test
A power generation company is looking to use the Google cloud platform to monitor a power station. They have installed several IoT sensors in the power station like temperature sensors, smoke detectors, motion detectors, etc. Sensor data will be continuously streamed to the cloud. Those data need to be handled by different components for real-time monitoring and alerts, analysis, and performance improvement. What Google Cloud Architecture would serve their purpose?
A. Cloud Pub/Sub Topic will collect data from the sensors. After Pub/Sub, data is retrieved by a streaming job running in Cloud Dataflow that transforms the data and sends it to BigQuery for analysis.
B. Send IoT devices data to Cloud Storage, load data from cloud storage to Big Query.
C. Cloud IoT core receives data from IoT sensors, then sends the data to cloud storage, transform the data using Cloud Dataflow and send the data to BigQuery for Analysis.
D. Cloud IoT core receives the data from IoT devices, Cloud IoT core transforms and redirects the request to Pub/Sub, use data proc to transform the data and send it to BigQuery for Analysis.
Answer: A
Option A is CORRECT because Cloud Pub/Sub can accept data from IoT devices and Cloud Pub/Sub acts as a connector service and sends the data to Cloud Data Flow for transformation. Data Flow transforms the data and sends it to Big Query for analysis.
Option B is INCORRECT because Cloud Storage isn’t the right choice for streaming data, using Cloud Pub/Sub is the best choice.
Option C is INCORRECT because Cloud IoT Core can stream the data directly to Cloud Pub/Sub .(use Cloud Storage for Batch Upload)
Option D is INCORRECT because Dataproc is a fully managed cloud service for running Apache Spark and Apache Hadoop clusters.
Sources: https://cloud.google.com/solutions/stream-analytics
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