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NEW QUESTION: 1
What is the chemical symbol for ethane or ethylene?
A. C(2)
B. CH4
C. C4
D. C3
Answer: A

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this scenario, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to create an Azure Databricks workspace that has a tiered structure. The workspace will contain the following three workloads:
A workload for data engineers who will use Python and SQL
A workload for jobs that will run notebooks that use Python, Spark, Scala, and SQL A workload that data scientists will use to perform ad hoc analysis in Scala and R The enterprise architecture team at your company identifies the following standards for Databricks environments:
The data engineers must share a cluster.
The job cluster will be managed by using a request process whereby data scientists and data engineers provide packaged notebooks for deployment to the cluster.
All the data scientists must be assigned their own cluster that terminates automatically after 120 minutes of inactivity. Currently, there are three data scientists.
You need to create the Databrick clusters for the workloads.
Solution: You create a Standard cluster for each data scientist, a High Concurrency cluster for the data engineers, and a High Concurrency cluster for the jobs.
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation:
We need a High Concurrency cluster for the data engineers and the jobs.
Note:
Standard clusters are recommended for a single user. Standard can run workloads developed in any language: Python, R, Scala, and SQL.
A high concurrency cluster is a managed cloud resource. The key benefits of high concurrency clusters are that they provide Apache Spark-native fine-grained sharing for maximum resource utilization and minimum query latencies.
References:
https://docs.azuredatabricks.net/clusters/configure.html

NEW QUESTION: 3
You have a Microsoft SQL Server instance that has a database named DB1. DB1 has data files on drive E and transaction logs on drive L.
You perform full backups of DB1 daily and transaction log backups hourly.
Drive E fails and is replaced.
You need to recover DB1 and prevent any data loss.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:

Answer:
Explanation:

Explanation

Section: Deploy and migrate applications
Step 1: Perform a tail-log backup.
A tail-log backup captures any log records that have not yet been backed up (the tail of the log) to prevent work loss and to keep the log chain intact. Before you can recover a SQL Server database to its latest point in time, you must back up the tail of its transaction log. The tail-log backup will be the last backup of interest in the recovery plan for the database.
Step 2: Restore a full backup.
Backups must be restored in the order in which they were created. Before you can restore a particular transaction log backup, you must first restore the following previous backups without rolling back uncommitted transactions, that is WITH NORECOVERY:
The full database backup and the last differential backup, if any, taken before the particular transaction log backup.
Step 3: Restore the log backups.
Log backups must be applied in the sequence in which they were created, without any gaps in the log chain.
Step 4: Restore the tail-log backups.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/restore-a-transaction-log-backup-sqlserv
https://docs.microsoft.com/en-us/sql/relational-databases/backup-restore/tail-log-backups-sql-server