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NEW QUESTION: 1
You implement 3 Azure SQL Data Warehouse instance.
You plan to migrate the largest fact table to Azure SQL Data Warehouse The table resides on Microsoft SQL Server on-premises and e 10 terabytes (TB) in size.
Incoming queues use the primary key Sale Key column to retrieve data as displayed in the following table:

You need to distribute the fact table across multiple nodes to optimize performance of the table.
Which technology should you use?
A. round robin distributed table with clustered ColumnStore index
B. round robin distributed table with clustered index
C. hash distributed table with clustered ColumnStore index
D. heap table with distribution replicate
E. hash distributed table with clustered index
Answer: C

NEW QUESTION: 2
Your customer has 10 web servers that generate logs at any given time. The customer would like to consolidate and load this data as it is generated into HDFS on the Big Data Appliance.
Which option should the customer use?
A. Set up a flume agent to capture the transactions and write them to HDFS.
B. Set up a zookeeper agent to capture the transactions and write them to HDFS.
C. Set up a web server agent in Apache Oozie to write the data to HDFS.
D. Write a hive query to listen for new logs and save them in a Hive table.
E. Set up an hbase agent to capture the transactions and write them to HDFS.
Answer: A
Explanation:
Explanation/Reference:
Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating and moving large amounts of log data from many different sources to a centralized data store.
The use of Apache Flume is not only restricted to log data aggregation. Since data sources are customizable, Flume can be used to transport massive quantities of event data including but not limited to network traffic data, social-media-generated data, email messages and pretty much any data source possible.
Example:

A Flume source consumes events delivered to it by an external source like a web server. The external source sends events to Flume in a format that is recognized by the target Flume source.
When a Flume source receives an event, it stores it into one or more channels. The channel is a passive store that keeps the event until it's consumed by a Flume sink. The file channel is one example - it is backed by the local filesystem. The sink removes the event from the channel and puts it into an external repository like HDFS (via Flume HDFS sink) or forwards it to the Flume source of the next Flume agent (next hop) in the flow. The source and sink within the given agent run asynchronously with the events staged in the channel.
Incorrect Answers:
A: ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications. Each time they are implemented there is a lot of work that goes into fixing the bugs and race conditions that are inevitable. Because of the difficulty of implementing these kinds of services, applications initially usually skimp on them, which make them brittle in the presence of change and difficult to manage.
References: https://flume.apache.org/FlumeUserGuide.html

NEW QUESTION: 3
Your network contains an Active Directory domain named contoso.com. The domain contains a server named Server1. Server1 runs Windows Server 2012 R2 and has the Hyper-V server role installed.
On Server1, you create and start a virtual machine named VM1. VM1 is configured as shown in the following table.

You plan to create a snapshot of VM1.
You need to recommend a solution to minimize the amount of disk space used for the snapshot of VM1.
What should you do before you create the checkpoint?
A. Configure VM1 to have a smaller virtual disk.
B. Decrease the Minimum RAM.
C. Run the Stop-VM cmdlet.
D. Convert diskl.vhd to a dynamically expanding disk.
Answer: C
Explanation:
For checkpoints created when the virtual machine is stopped
The checkpoint contains the state of the hard disks only.
For checkpoints created when the virtual machine is running
The checkpoint contains the state of the hard disks and the data in memory.
Note: A checkpoint saves the state of each virtual hard disk that is attached to a virtual
machine and all of the hard disk's contents, including application data files. For virtual
machines on Hyper-V and VMware ESX Server hosts, a checkpoint also saves the
hardware configuration information. By creating checkpoints for a virtual machine, you can
restore the virtual machine to a previous state.

NEW QUESTION: 4
スタックごとに1つのスタックでサポートできるスイッチの最大数はいくつですか？
A. 0
B. 1
C. 2
D. 3
Answer: B