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DP-201 Exam - Question 92

HOTSPOT -

You are designing a solution for a company. You plan to use Azure Databricks.

You need to recommend workloads and tiers to meet the following requirements:

✑ Provide managed clusters for running production jobs.

✑ Provide persistent clusters that support auto-scaling for analytics processes.

✑ Provide role-based access control (RBAC) support for Notebooks.

What should you recommend? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Hot Area:

Exam DP-201 Question 92
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Correct Answer:
Exam DP-201 Question 92

Box 1: Data Engineering Only -

Box 2: Data Engineering and Data Analytics

Box 3: Standard -

Box 4: Data Analytics only -

Box 5: Premium -

Premium required for RBAC. Data Analytics Premium Tier provide interactive workloads to analyze data collaboratively with notebooks

Reference:

https://azure.microsoft.com/en-us/pricing/details/databricks/

Discussion

19 comments
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Filippo
Apr 23, 2020

Based on MS documentation (https://azure.microsoft.com/en-us/pricing/details/databricks/) the answers should be: Box 1 = Data Engineering and Data Analytics, Box 2 = Data Analytics only, Box 3 = Standard, Box 4 = Data Engineering and Data Analytics, Box 5 = Premium

Niteen
May 14, 2020

It's perfect.

Niteen
May 14, 2020

Filippo - It's perfect.

Niteen
May 14, 2020

Filippo - It's perfect.

rohitbinnani
Jul 21, 2020

I did validate too. it is perfect.

D_Duke
Oct 20, 2020

Yes, perfect!

rajneesharora
Feb 7, 2021

Since the ask is to run Production Jobs, why not for Box 1 ==> Data Engineering only? Data Analytics is for Data Scientists for interactive workloads...

cadio30
May 26, 2021

both Data Analytics and Data Engineering are feasible for the requirement unless we are talking about cost reduction then 'Data Engineering' is the only appropriate answer

cadio30
May 26, 2021

Perfect answer with citation of reference. Cheers!

cadio30
Jun 10, 2021

To justify this solution feel free to check out the url below Reference: https://www.azure.cn/en-us/pricing/details/databricks/

cadio30
May 26, 2021

both Data Analytics and Data Engineering are feasible for the requirement unless we are talking about cost reduction then 'Data Engineering' is the only appropriate answer

cadio30
Jun 10, 2021

To justify this solution feel free to check out the url below Reference: https://www.azure.cn/en-us/pricing/details/databricks/

ToNiOZ45
Jul 1, 2020

After spending too much time on examtopics, I'm a robot!

Anonymous
Jul 17, 2020

Box1 = Data Analytics & Data Engineering Box2 = Data Analytics Box3 = Data Analytics & Data Engineering Box4 = Standard Box5 = Premium As per https://azure.microsoft.com/en-us/pricing/details/databricks/

avestabrzn
Apr 7, 2020

2nd box in the tier section should be standard

ThijsN
Jan 18, 2021

Best article I have found that explains this: https://sql-stack.com/2018/11/29/azure-databricks-workloads-and-job-scheduling/#:~:text=The%20Data%20Engineering%20workload%20is,the%20duration%20of%20the%20job.&text=This%20workload%20is%20also%20designed,the%20administrator%20in%20the%20workload. 1. Data engineering and standard (data engineering is meant for jobs, will tear itself down) 2. Data analytics and standard (is meant for ad-hoc analysis, will stay up) 3. Data engineer and analytics and premium (RBAC is a premium feature)

suman13
Apr 9, 2021

perfect

Ab5381
Dec 26, 2020

Box 1: Data Engineering (Jobs Compute) and Data Analytics (All-Purpose Compute) Box 2: Data Engineering (Jobs Compute) and Data Analytics (All-Purpose Compute) Box 3: Standard Box 4: Data Engineering (Jobs Compute) and Data Analytics (All-Purpose Compute) Box 5: Premium

Tyrus429
Apr 22, 2020

I think box 1 should be Data Engineering and Data Analytics.

MamadouNiang
May 5, 2020

Production OK for both. But I am not sure about "managed" clusters. To me it means "automated,workloads" = Engineering

Mittleme
Jul 21, 2020

Phew . these original answers are messed up and confusing . even though we have correct answers in the link. the answers provided are totally different

User27069
Nov 9, 2020

https://azure.microsoft.com/en-us/pricing/details/databricks/ Reading this link, it looks like Data Analytics has been rebranded to "All purpose Compute", and Data Engineering to "Jobs Compute". In which case, the answers given by wak are correct.

littlebear1
Dec 22, 2020

the original answer is correct

Bhagya123456
Aug 19, 2021

The pricing plans have different names now and many of the features has been combined. So this question is not valid today.

drdean
Jun 11, 2020

https://databricks.com/product/azure-pricing

drdean
Jun 12, 2020

Box 2 should be premium for - Optimized autoscaling of compute

mohowzeh
Jan 13, 2021

Box 3 can be Standard. See the "Autopilot" option in the Standard plan on this link: https://databricks.com/product/azure-pricing

mohowzeh
Jan 13, 2021

Box 3 can be Standard. See the "Autopilot" option in the Standard plan on this link: https://databricks.com/product/azure-pricing

Anonymous
Jun 22, 2020

As per https://azure.microsoft.com/en-us/pricing/details/databricks/ box 1,2,4 should be Data Engineering and Data Analytics, 5,4=Premium

AhmedReda
Jun 25, 2020

I think Box 4 = Standard as mentioned in the table and per @Filippo Table header is Standard tier features in the below link =============================================== https://azure.microsoft.com/en-us/pricing/details/databricks/

Treadmill
Aug 9, 2020

Persistent clusters for analytics is a standard tier (box 4) feature for data analytics (box 3) workload. Filippo has the provided the correct answer.

Treadmill
Aug 9, 2020

Persistent clusters for analytics is a standard tier (box 4) feature for data analytics (box 3) workload. Filippo has the provided the correct answer.

Arsa
Aug 21, 2020

Box1 = Data Analytics & Data Engineering Box2 = Data Analytics & Data Engineering Box4 = Standard Box3 = Data Analytics & Data Engineering Box5 = Premium

Arsa
Aug 21, 2020

ignore this. Box1 = Data Engineering Box2 = Data Analytics only Box4 = Standard Box3 = Data Analytics only Box5 = Premium

M0e
Oct 23, 2020

ignore this! Box 1: Data Engineering and Data Analytics Box 2: Data Analytics only Box 3: Standard Box 4: Data Engineering and Data Analytics Box 5: Premium source: https://azure.microsoft.com/en-us/pricing/details/databricks/

dsyouness
Oct 20, 2020

True source : https://databricks.com/fr/product/azure-pricing

M0e
Oct 23, 2020

ignore this! Box 1: Data Engineering and Data Analytics Box 2: Data Analytics only Box 3: Standard Box 4: Data Engineering and Data Analytics Box 5: Premium source: https://azure.microsoft.com/en-us/pricing/details/databricks/

ttAsh
Dec 8, 2020

from an efficiency point of view why cant we need Box 1 be Data Engineering only (Jobs Light Compute), as its less price and does the production job.

syu31svc
Dec 9, 2020

https://azure.microsoft.com/en-us/pricing/details/databricks/ Credit to Filippo for the link and mapping of answers to the details in the link

sturcu
Mar 19, 2021

https://azure.microsoft.com/en-us/pricing/details/databricks/ Persistent clusters for analytics is only available for All Purpose(data Analyst) Tier

vrmei
Jun 21, 2021

https://sql-stack.com/2018/11/29/azure-databricks-workloads-and-job-scheduling/ 1. Production Job (scheduled operations) - Data Engineering Only, Standard Tier 2. Persistent for analytics, auto-scaling - Data Analytics Only, Standard Tier 3. Role-based access - For both Data Engineering and Data Analytics, Premium Tier

RThakor
Jul 15, 2021

so many updates for same question so which answer is correct one ?

hsetin
Sep 6, 2021

i thought Autoscaling requires premium??