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Google GCP-DE Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Ensuring solution quality | 20%-25% | - Security and compliance
|
| Designing data processing systems | 22%-27% | - Designing data pipelines
|
| Managing and optimizing solutions | 20%-25% | - Reliability and scalability
|
| Building and operationalizing data processing systems | 28%-33% | - Building data processing systems
|
Google Data Engineer Sample Questions:
1. 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".
2. You have developed three data processing jobs. One executes a Cloud Dataflow pipeline that transforms data uploaded to Cloud Storage and writes results to BigQuery. The second ingests data from on-premises servers and uploads it to Cloud Storage. The third is a Cloud Dataflow pipeline that gets information from third-party data providers and uploads the information to Cloud Storage. You need to be able to schedule and monitor the execution of these three workflows and manually execute them when needed. What should you do?
A) Create a Direct Acyclic Graph in Cloud Composer to schedule and monitor the jobs.
B) Develop an App Engine application to schedule and request the status of the jobs using GCP API calls.
C) Set up cron jobs in a Compute Engine instance to schedule and monitor the pipelines using GCP API calls.
D) Use Stackdriver Monitoring and set up an alert with a Webhook notification to trigger the jobs.
3. Which of these sources can you not load data into BigQuery from?
A) Google Cloud SQL
B) Google Drive
C) File upload
D) Google Cloud Storage
4. 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) Store the data in Google Cloud Datastor
B) Use Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Google Cloud Storage.
C) Use Google Cloud Dataflow to query BigQuery and combine the data programmatically with the data stored in Cloud Datastore
D) Load the data every 30 minutes into a new partitioned table in BigQuery.
E) Store and update the data in a regional Google Cloud Storage bucket and create a federated data source in BigQuery
F) Store the data in a file in a regional Google Cloud Storage bucke
5. What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?
A) Triggers
B) Windows
C) OutputCriteria
D) Sessions
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: A |





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