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

2. When a Cloud Bigtable node fails, is lost.

A) the last transaction
B) all data
C) the time dimension
D) no data

3. You have a data stored in BigQuery. The data in the BigQuery dataset must be highly available. You need to define a storage, backup, and recovery strategy of this data that minimizes cost. How should you configure the BigQuery table?

A) In the event of an emergency, use a point-in-time snapshot to recover the data.
B) Set the BigQuery dataset to be multi-regional
C) Create a scheduled query to make copies of the data to tables suffixed with the time of the backup
D) In the event of an emergency, use the backup copy of the table.
E) In the event of an emergency, use a point-in-time snapshot to recover the data.
F) Set the BigQuery dataset to be multi-regional
G) In the event of an emergency, use the backup copy of the table.
H) Set the BigQuery dataset to be regiona
I) Set the BigQuery dataset to be regiona
J) Create a scheduled query to make copies of the data to tables suffixed with the time of the backu

4. You are operating a Cloud Dataflow streaming pipeline. The pipeline aggregates events from a Cloud Pub/Sub subscription source, within a window, and sinks the resulting aggregation to a Cloud Storage bucket. The source has consistent throughput. You want to monitor an alert on behavior of the pipeline with Cloud Stackdriver to ensure that it is processing dat a. Which Stackdriver alerts should you create?

A) An alert based on an increase of subscription/num_undelivered_messages for the source and a rate of change decrease of instance/storage/used_bytes for the destination
B) An alert based on a decrease of instance/storage/used_bytes for the source and a rate of change increase of subscription/num_undelivered_messages for the destination
C) An alert based on a decrease of subscription/num_undelivered_messages for the source and a rate of change increase of instance/storage/used_bytes for the destination
D) An alert based on an increase of instance/storage/used_bytes for the source and a rate of change decrease of subscription/num_undelivered_messages for the destination

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

Solutions: