Data Engineering - GET Training Assessment - Part 1

An engaging and informative illustration highlighting big data concepts, data lakes, cloud storage, and analytics with visual elements representing data pipelines and technology.

Data Engineering - GET Training Assessment

Test your knowledge on big data management and data engineering concepts with our comprehensive quiz. This assessment covers essential topics such as data lakes, big data challenges, and Google Cloud Platform storage options.

  • 10 engaging questions
  • Multiple choice and checkbox format
  • Perfect for data engineering enthusiasts
10 Questions2 MinutesCreated by AnalyzingData42
What is a solution for Bigdata management?
Distributed Framework
Parallel Processing
Horizontal Processing
All Above
What are 3V's of Bigdata?
Volume, Velocity, Variety
Volume, Vector, Variety
Vector, Velocity, Variety
Current Bigdata challenges: (Select all if applicable)
Migrating existing workloads
Large data analysis
Data pipelines for streaming data
Data for machine learning applications
Distributed Framework
What is the purpose of Datalake?
It offers backup and replication capability to a system
Provides transactional data to operational and end user facing systems
Plays company bus role
Central place to store the enterprise data, for analytics and data discovery
What are the main functionalities of DLL?
Reader, Transformer, Reporter
Reader, Reporter, Modifier
Reader, Datastructure, Persister
Reader, Modifier, Notifier
Which mergetype completely deletes the old data and replace it?
Overwrite
Append
Upsert
Dumpsert
Is it possible to create partition tables using DLL?
Yes
No
Which technical column provides result of SQL hash function on all columns of the row in a table?
DLL_VALIDITE
DLL_CHECKSUM
DLL_DATE_MAJ
DLL_DATE_CREATION
The Engro Data Analytics is Europe based analytics solution provider company located in France. For one of their client application, they like to migrate their on-promise data to GCP cloud as per client requirement and need to store the replica/copy of data in another region too. Which location option need to choose while creating bucket?
Dual - Regional : EUR4
Multi - Regional: EU
Region: EUROPE-WEST4
There are some data or files which can be access or modify <90 days or 3 months once. What is the storage class suitable for bucket creation?
Coldline
Nearline
Standard
All Above
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