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NEW QUESTION: 1
A. Option B
B. Option A
C. Option D
D. Option C
Answer: A
NEW QUESTION: 2
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You are a database administrator for a company that has an on-premises Microsoft SQL Server environment and Microsoft Azure SQL Database instances. The environment hosts several customer databases, and each customer uses a dedicated instance. The environments that you manage are shown in the following table.
You need to configure the Contoso instance.
How should you complete the Transact-SQL statement? To answer, select the appropriate Transact-SQL segments in the answer area.
Answer:
Explanation:
Explanation
Box 1: show advanced options
Advanced configuration options are displayed by first setting show advanced option to 1.
Box 2: max worker threads
SQL Server uses the native thread services of the operating systems so that one or more threads support each network that SQL Server supports simultaneously, another thread handles database checkpoints, and a pool of threads handles all users. The default value for max worker threads is 0. This enables SQL Server to automatically configure the number of worker threads at startup. The default setting is best for most systems.
References:
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/configure-the-max-worker-threads-serv
NEW QUESTION: 3
For each job, the Hadoop framework generates task log files. Where are Hadoop's task log files stored?
A. Cached on the local disk of the slave node running the task, then purged immediately upon task completion.
B. In HDFS, in the directory of the user who generates the job.
C. On the local disk of the slave node running the task.
D. Cached on the local disk of the slave node running the task, then copied into HDFS.
Answer: B
Explanation:
Job Statistics
These logs are created by the jobtracker. The jobtracker runtime statistics from jobs to these files.
Those statistics include task attempts, time spent shuffling, input splits given to task attempts, start
times of tasks attempts and other information.
The statistics files are named:
<hostname>_<epoch-of-jobtracker-start>_<job-id>_<job-name>
where <hostname> is the hostname of the machine creating these logs, <epoch-of-jobtracker-
start> is the number of milliseconds that had elapsed since Unix Epoch when the jobtracker
daemon was started, <job-id> is the job ID, and <job-name> is the name of the job.
For example:
ec2-72-44-61-184.compute-
1.amazonaws.com_1250641772616_job_200908190029_0002_hadoop_test-mini-mr
These logs are not rotated. You can clear these logs periodically without affecting Hadoop.
However, consider archiving the logs if they are of interest in the job development process. Make
sure you do not move or delete a file that is being written to by a running job.
Individual statistics logs are created for each job that is submitted to the cluster. The size of each log file varies. Jobs with more tasks produce larger files.
Reference:Apache Hadoop Log Files: Where to find them in CDH, and what info they contain
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