HOTSPOT - The following code segment is used to create an Azure Databricks cluster. For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:
Suggested Answer:
Box 1: Yes - A cluster mode of 'High Concurrency' is selected, unlike all the others which are 'Standard'. This results in a worker type of Standard_DS13_v2.
Box 2: No - When you run a job on a new cluster, the job is treated as a data engineering (job) workload subject to the job workload pricing. When you run a job on an existing cluster, the job is treated as a data analytics (all-purpose) workload subject to all-purpose workload pricing.
Box 3: Yes - Delta Lake on Databricks allows you to configure Delta Lake based on your workload patterns. Reference: https://adatis.co.uk/databricks-cluster-sizing/ https://docs.microsoft.com/en-us/azure/databricks/jobs https://docs.databricks.com/administration-guide/capacity-planning/cmbp.html https://docs.databricks.com/delta/index.html
FROM DP-201, thanks to rmk4ever ::
1. Yes
A cluster mode of ‘High Concurrency’ is selected, unlike all the others which are ‘Standard’. This results in a worker type of Standard_DS13_v2.
ref: https://adatis.co.uk/databricks-cluster-sizing/
2. NO
recommended: New Job Cluster.
When you run a job on a new cluster, the job is treated as a data engineering (job) workload subject to the job workload pricing. When you run a job on an existing cluster, the job is treated as a data analytics (all-purpose) workload subject to all-purpose workload pricing.
ref: https://docs.microsoft.com/en-us/azure/databricks/jobs
Scheduled batch workload- Launch new cluster via job
ref: https://docs.databricks.com/administration-guide/capacity-planning/cmbp.html#plan-capacity-and-control-cost
3.YES
Delta Lake on Databricks allows you to configure Delta Lake based on your workload patterns.
ref: https://docs.databricks.com/delta/index.html
Answer is Correct.
Box 1: Yes
"spark.databricks.cluster.profile": "serverless" means that the cluster is a High Concurrency Cluster, which support multi-users.
Box 2: No
Scheduled jobs should run in standard cluster. High Concurrency clusters are intended for multi-users and won’t benefit a cluster running a single job.
Box 3:Yes
I would say the answer is Yes, No, Yes. Delta lake was supported starting from Azure Databricks Runtime 6.0 with Scala 2.11.12. https://docs.microsoft.com/en-us/azure/databricks/release-notes/runtime/6.0#system-environment
the same question is in DP-201 with the same answer. https://www.examtopics.com/discussions/microsoft/view/16875-exam-dp-201-topic-2-question-11-discussion/
Sorry, it should be NO,NO,YES.
For Box 2, the cheapest way is creating the cluster when it's time to execute the job and terminate immediately after the task completes. This is called New Job Clusters .
https://docs.microsoft.com/en-us/azure/databricks/jobs
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