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Google Data Engineer Sample Questions:

1. What are all of the BigQuery operations that Google charges for?

A) Storage, queries, and exporting data
B) Storage, queries, and streaming inserts
C) Queries and streaming inserts
D) Storage, queries, and loading data from a file

2. Which is not a valid reason for poor Cloud Bigtable performance?

A) The workload isn't appropriate for Cloud Bigtable.
B) The table's schema is not designed correctly.
C) The Cloud Bigtable cluster has too many nodes.
D) There are issues with the network connection.

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

4. You are planning to migrate your current on-premises Apache Hadoop deployment to the cloud. You need to ensure that the deployment is as fault-tolerant and cost-effective as possible for long-running batch jobs. You want to use a managed service. What should you do?

A) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
B) Change references in scripts from hdfs:// to gs://
C) Install Hadoop and Spark on a 10-node Compute Engine instance group with standard instance
D) Store data in Cloud Storage, and change references in scripts from hdfs:// to gs://
E) Use a standard persistent disk and 50% preemptible worker
F) Install Hadoop and Spark on a 10-node Compute Engine instance group with preemptible instances.Store data in HDF
G) Deploy a Cloud Dataproc cluste
H) Install the Cloud Storage connector, and store the data in Cloud Storag
I) Deploy a Cloud Dataproc cluste
J) Change references in scripts from hdfs:// to gs://
K) Use an SSD persistent disk and 50% preemptible worker

5. You are designing storage for two relational tables that are part of a 10-TB database on Google Cloud. You want to support transactions that scale horizontally. You also want to optimize data for range queries on nonkey columns. What should you do?

A) Use Cloud SQL for storag
B) Use Cloud Dataflow to transform data to support query patterns.
C) Add secondary indexes to support query patterns.
D) Use Cloud Spanner for storag
E) Use Cloud Spanner for storag
F) Use Cloud SQL for storag
G) Add secondary indexes to support query patterns.
H) Use Cloud Dataflow to transform data to support query patterns.

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