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Google Data Engineer Sample Questions:

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

2. 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: device_idColumn data: date, data_point
B) Rowkey: date#data_pointColumn data: device_id
C) Rowkey: date#device_idColumn data: data_point
D) Rowkey: data_pointColumn data: device_id, date
E) Rowkey: dateColumn data: device_id, data_point

3. Flowlogistic's CEO wants to gain rapid insight into their customer base so his sales team can be better informed in the field. This team is not very technical, so they've purchased a visualization tool to simplify the creation of BigQuery reports. However, they've been overwhelmed by all the data in the table, and are spending a lot of money on queries trying to find the data they need. You want to solve their problem in the most cost-effective way. What should you do?

A) Create a view on the table to present to the virtualization tool.
B) Export the data into a Google Sheet for virtualization.
C) Create identity and access management (IAM) roles on the appropriate columns, so only they appear in a query.
D) Create an additional table with only the necessary columns.

4. Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer dat a. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

A) Increase the CPU size on your server.
B) Increase the size of the Google Persistent Disk on your server.
C) Increase your network bandwidth from Compute Engine to Cloud Storage.
D) Increase your network bandwidth from your datacenter to GCP.

5. MJTelco is building a custom interface to share dat
a. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds). Which combination of Google Cloud Platform products should you recommend?

A) Cloud Datastore and Cloud Bigtable
B) BigQuery and Cloud Storage
C) Cloud Bigtable and Cloud SQL
D) BigQuery and Cloud Bigtable

Solutions: