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Free Updated Questions and answers ofProfessional-Data-Engineer Exam:
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Question #:1
MJTelco needs you to create a schema in Google Bigtable thatwill allow for the historical analysis of the last 2 years of records. Eachrecord that comes in is sent every 15 minutes, and contains a unique identifierof the device and a data record. The most common query is for all the data fora given device for a given day. Which schema should you use?
A. Rowkey: date#device_idColumn data: data_point
B. Rowkey: dateColumn data: device_id, data_point
C. Rowkey: device_idColumn data: date, data_point
D. Rowkey: data_pointColumn data: device_id, date
E. Rowkey: date#data_pointColumn data: device_id
Answer: D
Question #:2
Given the record streams MJTelco is interested in ingestingper day, they are concerned about the cost of Google BigQuery increasing.MJTelco asks you to provide a design solution. They require a single large datatable called tracking_table. Additionally, they want to minimize the cost ofdaily queries while performing fine-grained analysis of each day’s events. Theyalso want to use streaming ingestion. What should you do?
A. Create a table called tracking_table and include aDATE column.
B. Create a partitioned table called tracking_tableand include a TIMESTAMP column.
C. Create sharded tables for each day following thepattern tracking_table_YYYYMMDD.
D. Create a table called tracking_table with a TIMESTAMPcolumn to represent the day.
Answer: B
Question #:3
You work for an economic consulting firm that helpscompanies identify economic trends as they happen. As part of your analysis,you use Google BigQuery to correlate customer data with the average prices ofthe 100 most common goods sold, including bread, gasoline, milk, and others.The average prices of these goods are updated every 30 minutes. You want tomake sure this data stays up to date so you can combine it with other data inBigQuery as cheaply as possible. What should you do?
A. Load the data every 30 minutes into a newpartitioned table in BigQuery.
B. Store and update the data in a regional GoogleCloud Storage bucket and create a federated data source in BigQuery
C. Store the data in Google Cloud Datastore. UseGoogle Cloud Dataflow to query BigQuery and combine the data programmaticallywith the data stored in Cloud Datastore
D. Store the data in a file in a regional GoogleCloud Storage bucket. Use Cloud Dataflow to query
E. BigQuery and combine the data programmaticallywith the data stored in Google Cloud Storage.
Answer: A
Question #:4
You are designing the database schema for a machinelearning-based food ordering service that will predict what users want to eat.Here is some of the information you need to store:
v The user profile: What theuser likes and doesn’t like to eat
v The user accountinformation: Name, address, preferred meal times
v The order information: Whenorders are made, from where, to whom
The database will be used to store all the transactionaldata of the product. You want to optimize the data schema. Which Google CloudPlatform product should you use?
A. BigQuery
B. Cloud SQL
C. Cloud Bigtable
D. Cloud Datastore
Answer: A
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