Google Data Engineer : GCP-DE

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Google GCP-DE Exam Syllabus Topics:

Google Data Engineer Sample Questions:

1. You have enabled the free integration between Firebase Analytics and Google BigQuery. Firebase now automatically creates a new table daily in BigQuery in the format app_events_YYYYMMDD. You want to query all of the tables for the past 30 days in legacy SQL. What should you do?

A) Use the TABLE_DATE_RANGE function
B) Use WHERE date BETWEEN YYYY-MM-DD AND YYYY-MM-DD
C) Use SELECT IF.(date >= YYYY-MM-DD AND date <= YYYY-MM-DD
D) Use the WHERE_PARTITIONTIME pseudo column

2. An online retailer has built their current application on Google App Engine. A new initiative at the company mandates that they extend their application to allow their customers to transact directly via the application.
They need to manage their shopping transactions and analyze combined data from multiple datasets using a business intelligence (BI) tool. They want to use only a single database for this purpose. Which Google Cloud database should they choose?

A) Cloud BigTable
B) Cloud Datastore
C) Cloud SQL
D) BigQuery

3. You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this dat a. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? Choose 2 answers.

A) Develop a data pipeline where status updates are appended to BigQuery instead of updated.
B) Use BigQuery'ssupport for external data sources to query.
C) Denormalize the data as must as possible.
D) Preserve the structure of the data as much as possible.
E) Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro fil
F) Use BigQuery UPDATE to further reduce the size of the dataset.

4. Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A) Pig
B) Spark
C) YARN
D) Hive

5. Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error.
SELECT person FROM `project1.example.table1` WHERE city = "London"
How would you correct the error?

A) Change "person" to "city.person".
B) Change "person" to "person.city".
C) Add ", UNNEST(city)" before the WHERE clause.
D) Add ", UNNEST(person)" before the WHERE clause.

Solutions: