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Amazon Redshift Assessment Test
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Test duration:
20
min
Notes
No. of questions:
10
Tie
Level of experience:

Amazon Redshift Test

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About

Amazon Redshift Assessment Test

Amazon Redshift is a fully managed scalable data warehouse service in the cloud that is fast in operation. In AWS Redshift, you can run SQL queries against hundreds of gigabytes of data within a few seconds. It also makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. Amazon Redshift helps to easily automate most of the common administrative tasks to manage, monitor, and scale data warehouse.

Amazon Redshift assessment test enables hiring managers & recruiters to find the best suitable candidate by assessing his/her data warehouse management skills. Amazon Redshift online test questions are designed & validated by subject matter experts (SMEs) to assess & hire AWS Database Developers as per the industry standards.

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How it works

Test Summary

The Amazon Redshift skills test helps to screen the candidates who possess the following traits:


1. Excellent knowledge of Amazon Redshift architecture

2. Ability to run complex SQL queries

3. Ability to work on data migration, data loading & data encryption

4. Working experience in RDS integration & Cloudwatch integration


iMocha's powerful reporting & intelligent analytics will help you overview candidates' performance in each section within a glance. The candidate feedback module will ensure candidates have an excellent experience with iMocha.

The Amazon Redshift online test contains the latest & quality set of questions crafted by industry experts to cope with recent developments in technology. Moreover, you can add your own questions as per the job requirement.

AWS Redshift pre-employment test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive Questions, Whiteboard Questions, Audio / Video Questions, AI-LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc. The Online Amazon Redshift data warehouse test is designed considering EEOC guidelines, and it will help you assess & hire diverse talent without bias. 

Test Duration
20
No. of Questions
10
Level of Expertise
Useful for hiring
  • Amazon Redshift Database Developer
  • Amazon Database Services SDE
  • Amazon Redshift
  • Amazon Redshift Software Development Engineer
Topics Covered
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Data Warehouse

Sort Key

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Data Migration

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Custer Query

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Query Performance

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Admin Scripts

Sample Question
Choose from our 100,000+ questions library or add your own questions to make powerful custom tests.

Question types :

Multiple Option

Topic:

Difficulty:

Hard


Q 1. You have been asked to train « Naive Bayes model for spam detection dataset

Using Python command, what wil you add in the given code at XXXX to deciore, it and train your modal for the given dataset?

import numpy os np

X= nporroyll 3. 2b[1 21 [2.21.[3,21)
Y= nporray(fi.a,a.1))

XXXX

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

from skinamnaive_bayas import

Gaussianna

otf = Gaussianne()

ceataie(x ¥)

Question types :

Multiple Option

Topic:

Machine teaming

Difficulty:

Hard


Q 1. Q2 Lets assume that you have 6 Pandas DataFrome(af) in the below tole.

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074

When the following commend is executed, what hoppens to the DatoFrome?

df= defiinat()
Y= nporray(fi.a,a.1))

Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
Index Code Open High
0 AAPL 19877 70074
1 AAPL 19877 70074
2 AAPL 19877 70074
3 AAPL 19877 70074
4 AAPL 19877 70074
it gives an error becouse of the third row which has on empty string.
None of these

Question types :

Multiple Answer

Topic:

Data Volume cost

Difficulty:

Hard

Question:

increased lately. You can keep scaling the cluster horizontally at the expanse of a higher-cost course. Which of the following archiving options are available for you to query the entire data as usual (maybe with a compromise in the querying time) but with a low or no additional cost?

Note: There can be multiple correct answers to this question.


Options

  • Ensure that all tables have compression SELECT * FROM svv_table_info;.<br />Maximize compression by changing large tables to use ENCODE zstd.<br />&nbsp;
  • Ensure that all tables have compression SELECT * FROM table_info;.<br />Maximize compression by changing large tables to use ENCODE.<br />&nbsp;
  • Switch small tables &lt; ~100k rows (depends) to DISTSTYLE ALL (yes this saves space!).<br />Switch from SSD-based nodes (ds2) to HDD nodes (dc2), which have 16x more storage space.<br />&nbsp;
  • Switch small tables &lt; ~50k rows (depends) to DISTSTYLE ALL (yes this saves space!).<br />Switch from SSD-based nodes (dc2) to HDD nodes (ds2), which have 8x more storage space.<br />&nbsp;
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