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NEW QUESTION: 1
Which of the following statement is correct?
A. The optical layer path must be deleted first when the electrical layer path is removed.
B. When the OCh path exists, you can directly create a client path. The NMS automatically creates an ODUk path.
C. The optical layer path and the electrical layer path are independent. It is not necessary to delete the electrical layer path when deleting the optical layer path.
D. Deactivation will delete the configuration of the U2000, which has no impact on the device side services.
Answer: C

NEW QUESTION: 2
Your database is using a default temporary tablespace that contains the temp01.tmp temporary file. All the users on the database use the default temporary tablespace. A user issues a query on the orders table and receives the following error:
ERROR at line I:
ORA-0I565: error in identifying file '/u01/app/oracle/oradata/TEST/temp01.tmp'
ORA-27037: unable to obtain file status
What would be the most efficient way to rectify this error?
A. Add a new tempfile to the user's temporary tablespace and drop the tempfile that produced the error.
B. Take the temporary tablespace offline, recover the missing tempfile by applying redo logs, and then bring the temporary tablespace online.
C. Shut down the database instance, restore the temp01.tmp file from the backup, and then restart the database.
D. Allow the database to continue running, drop the temp01.tmp temporary file, and then re-create it with new tempfiles.
Answer: A

NEW QUESTION: 3
クラウド展開モデルを関連するユースケースシナリオにドラッグアンドドロップします。オプションは1回だけ使用することも、まったく使用しないこともあります。

Answer:
Explanation:

Explanation:


NEW QUESTION: 4
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 have an initial dataset that contains the crime data from major cities.
You plan to build training models from the training data. You plan to automate the process of adding more data to the training models and to constantly tune the models by using the additional data, including data that is collected in near real-time. The system will be used to analyze event data gathered from many different sources, such as Internet of Things (IoT) devices, live video surveillance, and traffic activities, and to generate predictions of an increased crime risk at a particular time and place.
You have an incoming data stream from Twitter and an incoming data stream from
Facebook, which are event-based only, rather than time-based. You also have a time interval stream every 10 seconds.
The data is in a key/value pair format. The value field represents a number that defines how many times a hashtag occurs within a Facebook post, or how many times a Tweet that contains a specific hashtag is retweeted.
You must use the appropriate data storage, stream analytics techniques, and Azure
HDInsight cluster types for the various tasks associated to the processing pipeline.
You plan to consolidate all of the streams into a single timeline, even though none of the streams report events at the same interval.
You need to aggregate the data from the feeds to alight with the time interval stream. The result must be the sum of all the values for each key within a 10 second interval, with the keys being the hashtags.
Which function should you use?
A. countByValueAndWindow
B. updateStateByKey
C. reduceByKeyAndWindow
D. countByWindow
E. reduceByWindow
Answer: B