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Google Data Engineer Sample Questions:

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

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

2. You launched a new gaming app almost three years ago. You have been uploading log files from the previous day to a separate Google BigQuery table with the table name format LOGS_yyyymmdd. You have been using table wildcard functions to generate daily and monthly reports for all time ranges. Recently, you discovered that some queries that cover long date ranges are exceeding the limit of 1,000 tables and failing. How can you resolve this issue?

A) Create separate views to cover each month, and query from these views
B) Convert the sharded tables into a single partitioned table
C) Convert all daily log tables into date-partitioned tables
D) Enable query caching so you can cache data from previous months

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

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

4. Which of these sources can you not load data into BigQuery from?

A) Google Drive
B) File upload
C) Google Cloud Storage
D) Google Cloud SQL

5. Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

A) A non-sequential numeric ID
B) A stock symbol followed by a timestamp
C) A sequential numeric ID
D) A timestamp followed by a stock symbol

Solutions: