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NEW QUESTION: 1
How must you format the underlying filesystem of your Hadoop cluster's slave nodes running on Linux?
A. They must be formatted as either ext3 or ext4
B. They must be formatted as HDFS
C. They may be formatted in nay Linux filesystem
D. They must not be formatted - - HDFS will format the filesystem automatically
Answer: A
Explanation:
The Hadoop Distributed File System is platform independent and can function on top of any underlying file system and Operating System. Linux offers a variety of file system choices, each with caveats that have an impact on HDFS.
As a general best practice, if you are mounting disks solely for Hadoop data, disable 'noatime'. This speeds up reads for files.
There are three Linux file system options that are popular to choose from:
Ext3 Ext4 XFS Yahoo uses the ext3 file system for its Hadoop deployments. ext3 is also the default filesystem choice for many popular Linux OS flavours. Since HDFS on ext3 has been publicly tested on Yahoo's cluster it makes for a safe choice for the underlying file system.
ext4 is the successor to ext3. ext4 has better performance with large files. ext4 also introduced delayed allocation of data, which adds a bit more risk with unplanned server outages while decreasing fragmentation and improving performance.
XFS offers better disk space utilization than ext3 and has much quicker disk formatting times than ext3. This means that it is quicker to get started with a data node using XFS.
Reference: Hortonworks,Linux File Systems for HDFS
NEW QUESTION: 2
A. ALTER SERVER ROLE [SpecialDBARole] ADD MEMBER [DOMAIN\JrDBAs];
B. CREATE SERVER ROLE [SpecialDBARole] AUTHORIZATION setupadmin;
C. GRANT VIEW SERVER STATE, VIEW ANY DATABASE TO [SpecialDBARole];
D. GRANT VIEW DEFINITION TO [SpecialDBARole];
E. CREATE SERVER ROLE [SpecialDBARole] AUTHORIZATION serveradmin;
F. CREATE SERVER ROLE [SpecialDBARole] AUTHORIZATION securityadmin;
Answer: A,C,F
NEW QUESTION: 3
Which of the following should be done FIRST when handling multiple confirmed incidents raised at the same time?
A. Inform senior management.
B. Categorize incidents by the value of the affected asset.
C. Update the business impact assessment.
D. Activate the business continuity plan (BCP).
Answer: B
NEW QUESTION: 4
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 started 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 section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You need to design the system that handles uploaded documents.
Solution: Use an Azure Blob Container as the location to upload documents. Use Azure Service Bus for user notification and to start processing.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
An Azure Blob Container, which uses an object store with flat namespace, is good for this scenario.
A service bus is needed to meet the requirements.
Scenario: Document Uploads
During the document upload process, the solution must capture information about the geographic location where documents originate. Processing of documents must be automatically triggered when documents are uploaded. Customers must be notified when analysis of their uploaded documents begins.
Uploaded documents must be processed using Azure Machine Learning Studio in an Azure Data Factory pipeline. The machine learning portion of the pipeline is updated once a quarter.
When document processing is complete, the documents and the results of the analysis process must be visible.
Reference: https://docs.microsoft.com/en-us/azure/event-grid/compare-messaging-services