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NEW QUESTION: 1

A. Option C
B. Option D
C. Option B
D. Option A
Answer: B

NEW QUESTION: 2
Which two statements about the OSPF Router ID are true? (Choose two.)
A. It is created using the MAC Address of the loopback interface.
B. It should be the same on all routers in an OSPF routing instance.
C. By default, the lowest IP address on the router becomes the OSPF Router ID.
D. The router automatically chooses the IP address of a loopback as the OSPF Router I
E. It identifies the source of a Type 1 LS
Answer: D,E
Explanation:
From the output of the "show ip ospf database":
r120#show ip ospf data
OSPF Router with ID (10.0.0.120) (Process ID 1)
Next, who are the other routers in our area?
Router Link States (Area 1)
Link ID ADV Router Age Seq# Checksum Link count
10.0.0.111 10.0.0.111 600 0x8000023A 0x0092B3 1
10.0.0.112 10.0.0.112 1246 0x80000234 0x009CAC 1
10.0.0.113 10.0.0.113 148 0x8000022C 0x004399 3
10.0.0.120 10.0.0.120 152 0x80000240 0x0046CB 1
This tells us there are four routers in Area 1. The router with RID 10.0.0.113 has 3 links in
Area 1, every one else has only 1 link. Also the router will chose the highest loopback interface as its OSPF router ID (if available).

NEW QUESTION: 3
You plan to perform batch processing in Azure Databricks once daily.
Which type of Databricks cluster should you use?
A. job
B. High Concurrency
C. interactive
Answer: A
Explanation:
Example: Scheduled batch workloads (data engineers running ETL jobs)
This scenario involves running batch job JARs and notebooks on a regular cadence through the Databricks platform.
The suggested best practice is to launch a new cluster for each run of critical jobs. This helps avoid any issues (failures, missing SLA, and so on) due to an existing workload (noisy neighbor) on a shared cluster.
Note: Azure Databricks has two types of clusters: interactive and automated. You use interactive clusters to analyze data collaboratively with interactive notebooks. You use automated clusters to run fast and robust automated jobs.
References:
https://docs.databricks.com/administration-guide/cloud-configurations/aws/cmbp.html#scenario-3-scheduledbatch-workloads-data-engineers-running-etl-jobs