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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing and optimizing solutions | 20%-25% | - Managing resources and costs
|
| Designing data processing systems | 22%-27% | - Designing data pipelines
|
| Ensuring solution quality | 20%-25% | - Security and compliance
|
| Building and operationalizing data processing systems | 28%-33% | - Operationalizing systems
|
Google Data Engineer Sample Questions:
You need to deploy additional dependencies to all of a Cloud Dataproc cluster at startup using an existing initialization action. Company security policies require that Cloud Dataproc nodes do not have access to the Internet so public initialization actions cannot fetch resources. What should you do?
- A. Copy all dependencies to a Cloud Storage bucket within your VPC security perimeter
- B. Use Resource Manager to add the service account used by the Cloud Dataproc cluster to the Network User role
- C. Use an SSH tunnel to give the Cloud Dataproc cluster access to the Internet
- D. Deploy the Cloud SQL Proxy on the Cloud Dataproc master
Correct Answer: B 🗳️
You work for a mid-sized enterprise that needs to move its operational system transaction data from an on-premises database to GCP. The database is about 20 TB in size. Which database should you choose?
- A. Cloud Bigtable
- B. Cloud SQL
- C. Cloud Datastore
- D. Cloud Spanner
Correct Answer: B 🗳️
You work for an economic consulting firm that helps companies identify economic trends as they happen. As part of your analysis, you use Google BigQuery to correlate customer data with the average prices of the 100 most common goods sold, including bread, gasoline, milk, and others. The average prices of these goods are updated every 30 minutes. You want to make sure this data stays up to date so you can combine it with other data in BigQuery as cheaply as possible. What should you do?
- A. Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
- B. Store the data in Google Cloud Datastor
- C. Store the data in a file in a regional Google Cloud Storage bucke
- D. Load the data every 30 minutes into a new partitioned table in BigQuery.
- E. Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
- F. Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
Correct Answer: D 🗳️
MJTelco needs you to create a schema in Google Bigtable that will allow for the historical analysis of the last 2 years of records. Each record that comes in is sent every 15 minutes, and contains a unique identifier of the device and a data record. The most common query is for all the data for a given device for a given day. Which schema should you use?
- A. Rowkey: date#data_pointColumn data: device_id
- B. Rowkey: data_pointColumn data: device_id, date
- C. Rowkey: device_idColumn data: date, data_point
- D. Rowkey: date#device_idColumn data: data_point
- E. Rowkey: dateColumn data: device_id, data_point
Correct Answer: B 🗳️
Flowlogistic's management has determined that the current Apache Kafka servers cannot handle the data volume for their real-time inventory tracking system. You need to build a new system on Google Cloud Platform (GCP) that will feed the proprietary tracking software. The system must be able to ingest data from a variety of global sources, process and query in real-time, and store the data reliably. Which combination of GCP products should you choose?
- A. Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
- B. Cloud Pub/Sub, Cloud Dataflow, and Local SSD
- C. Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
- D. Cloud Pub/Sub, Cloud SQL, and Cloud Storage
Correct Answer: D 🗳️
