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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing and optimizing solutions | 20%-25% | - Managing resources and costs
|
| Building and operationalizing data processing systems | 28%-33% | - Operationalizing systems
|
| Designing data processing systems | 22%-27% | - Designing for data ingestion
|
| Ensuring solution quality | 20%-25% | - Security and compliance
|
Google Data Engineer Sample Questions:
1. 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 and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
C) Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
D) Load the data every 30 minutes into a new partitioned table in BigQuery.
E) Store the data in a file in a regional Google Cloud Storage bucke
F) Store the data in Google Cloud Datastor
2. 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 Pub/Sub, Cloud Dataflow, and Local SSD
B) Cloud Pub/Sub, Cloud SQL, and Cloud Storage
C) Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
D) Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
3. Which of these is not a supported method of putting data into a partitioned table?
A) If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.
B) Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".
C) Create a partitioned table and stream new records to it every day.
D) Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".
4. You receive data files in CSV format monthly from a third party. You need to cleanse this data, but every third month the schema of the files changes. Your requirements for implementing these transformations include:
Executing the transformations on a schedule
Enabling non-developer analysts to modify transformations
Providing a graphical tool for designing transformations
What should you do?
A) Use Apache Spark on Cloud Dataproc to infer the schema of the CSV file before creating a Dataframe.Then implement the transformations in Spark SQL before writing the data out to Cloud Storage and loading into BigQuery
B) Load each month's CSV data into BigQuery, and write a SQL query to transform the data to a standard scheme
C) Merge the transformed tables together with a SQL query
D) Help the analysts write a Cloud Dataflow pipeline in Python to perform the transformatio
E) Use Cloud Dataprep to build and maintain the transformation recipes, and execute them on a scheduled basis
F) The Python code should be stored in a revision control system and modified as the incoming data's schema changes
5. You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?
A) Cloud SQL
B) Cloud Datastore
C) Cloud Bigtable
D) BigQuery
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: A |
