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NEW QUESTION: 1
user1 has a disk quota of 0.5 MB. The user attempts to run the following command on a file called .bigfile that is 495 KB in size:
cp bigfile /tmp
Will the command execute successfully?
A. Yes. The quota is set at the directory level, not the user level.
B. No. The command will fail because it will cause him to exceed his user quota.
C. Yes. Quotas do not include any of the system files such as /tmp /swap.
D. No. A user cannot place files into the /tmp directory.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
UFS quotas enable system administrators to control the size of file systems. Quotas limit the amount of disk space and the number of inodes, which roughly corresponds to the number of files, that individual users can acquire. For this reason, quotas are especially useful on the file systems where user home directories reside. As a rule, the public and /tmp file systems usually do not benefit significantly by establishing quotas.
Note: The cp command copies files and directories.
NEW QUESTION: 2
You are designing an ASP.NET Web application that will be accessed by local intranet users. The Web application will store temporary data files locally. The Web server is running IIS 7.5.
You have the following requirements:
You need to recommend an approach for securing the temporary data files.
Which two actions should you recommend? (Each correct answer presents part of the solution. Choose two.)
A. Set the default role provider to the WindowsTokenRoleProvider class,
B. Set the Load User Profile setting to True in the application pool configuration.
C. Enable ASP.NET impersonation.
D. Enable Windows authentication.
Answer: A,D
NEW QUESTION: 3
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Yes
Azure Databricks can consume data from SQL Databases using JDBC and from SQL Databases using the Apache Spark connector.
The Apache Spark connector for Azure SQL Database and SQL Server enables these databases to act as input data sources and output data sinks for Apache Spark jobs.
Box 2: Yes
You can stream data into Azure Databricks using Event Hubs.
Box 3: Yes
You can run Spark jobs with data stored in Azure Cosmos DB using the Cosmos DB Spark connector.
Cosmos can be used for batch and stream processing, and as a serving layer for low latency access.
You can use the connector with Azure Databricks or Azure HDInsight, which provide managed Spark clusters on Azure.
