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NEW QUESTION: 1
For a machine learning progress, how should you split data for training and evaluation?
A. Use features for training and labels for evaluation.
B. Use labels for training and features for evaluation.
C. Randomly split the data into rows for training and rows for evaluation.
D. Randomly split the data into columns for training and columns for evaluation.
Answer: D
Explanation:
Explanation
In Azure Machine Learning, the percentage split is the available technique to split the data. In this technique, random data of a given percentage will be split to train and test data.
Reference:
https://www.sqlshack.com/prediction-in-azure-machine-learning/
NEW QUESTION: 2
What are three reasons to collect Netflow data on a company network? (Choose three.)
A. To report and alert link up / down instances.
B. To confirm the appropriate amount of bandwidth that has been allocated to each Class of Service.
C. To diagnose slow network performance, bandwidth hogs, and bandwidth utilization.
D. To authorize user network access.
E. To identify applications causing congestion.
F. To detect suboptimal routing in the network.
Answer: B,C,E
Explanation:
Explanation/Reference:
Explanation:
NetFlow facilitates solutions to many common problems encountered by IT professionals.
+ Analyze new applications and their network impact
Identify new application network loads such as VoIP or remote site additions.
+ Reduction in peak WAN traffic
Use NetFlow statistics to measure WAN traffic improvement from application-policy changes; understand who is utilizing the network and the network top talkers.
+ Troubleshooting and understanding network pain points
Diagnose slow network performance, bandwidth hogs and bandwidth utilization quickly with command line interface or reporting tools.
+ Detection of unauthorized WAN traffic
Avoid costly upgrades by identifying the applications causing congestion.
+ Security and anomaly detection
NetFlow can be used for anomaly detection and worm diagnosis along with applications such as Cisco CS- Mars.
+ Validation of QoS parameters
Confirm that appropriate bandwidth has been allocated to each Class of Service (CoS) and that no CoS is over-or under-subscribed.
http://www.c isco.com/c/en/us/products/collateral/ios-nx-os-software/ios-netflow/ prod_white_paper0900aecd80406232.html
NEW QUESTION: 3
You create a table that has the StudentCode, SubjectCode, and Marks columns to record mid-year marks for students. The table has marks obtained by 50 students for various subjects.
You need to ensure that the top half of the students arranged by their average marks must be given a rank of 1 and the remaining students must be given a rank of 2. Which Transact-SQL query should you use?
A. SELECT StudentCode as Code,
DENSE_RANK() OVER (ORDER BY AVG (Marks) DESC) AS Value
FROM StudentMarks
GROUP BY StudentCode
B. SELECT StudentCode AS Code,Marks AS Value FROM (
SELECT StudentCode,Marks AS Marks,
RANK() OVER (PARTITION BY SubjectCode ORDER BY Marks DESC) AS Rank
FROM StudentMarks) tmp
WHERE Rank = 1
C. SELECT StudentCode as Code,
NTILE (2) OVER (ORDER BY AVG (Marks) DESC) AS Value
FROM StudentMarks
GROUP BY StudentCode
D. SELECT Id, Name, Marks,
DENSE_RANK() OVER (ORDER BY Marks DESC) AS Rank
FROM StudentMarks
E. SELECT StudentCode AS Code,Marks AS Value FROM (
SELECT StudentCode, Marks AS Marks,
RANK () OVER (PARTITION BY StudentCode ORDER BY Marks DESC) AS Rank
FROM StudentMarks) tmp
WHERE Rank = 1
F. SELECT StudentCode AS Code,Marks AS Value FROM (
SELECT StudentCode, Marks AS Marks,
RANK() OVER (PARTITION BY SubjectCode ORDER BY Marks ASC) AS Rank
FROM StudentMarks) tmp
WHERE Rank = 1
G. SELECT StudentCode AS Code,Marks AS Value FROM (
SELECT StudentCode, Marks AS Marks,
RANK () OVER (PARTITION BY StudentCode ORDER BY Marks ASC) AS Rank
FROM StudentMarks) tmp
WHERE Rank = 1
H. SELECT StudentCode as Code,
RANK() OVER (ORDER BY AVG (Marks) DESC) AS Value
FROM StudentMarks
GROUP BY StudentCode
Answer: C
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 4
In order to exploit some new storage tiers that have been provisioned by a storage administrator, the partitions of a large heap table must be moved to other tablespaces in your Oracle 12c database?
Both local and global partitioned B-tree Indexes are defined on the table.
A high volume of transactions access the table during the day and a medium volume of transactions access it at night and during weekends.
Minimal disrupt ion to availability is required.
Which three statements are true about this requirement?
A. The partitions can be compressed in the same tablespaces.
B. Local indexes must be rebuilt manually after moving the partitions.
C. Global indexes must be rebuilt manually after moving the partitions.
D. The partitions can be moved online to new tablespaces.
E. The partitions can be compressed in the new tablespaces.
Answer: C,D,E
Explanation:
A: You can create and rebuild indexes online. Therefore, you can update base tables at the same time you are building or rebuilding indexes on that table. You can perform DML operations while the index build is taking place, but DDL operations are not allowed. Parallel execution is not supported when creating or rebuilding an index online.
B: Note:
* Transporting and Attaching Partitions for Data Warehousing Typical enterprise data warehouses contain one or more large fact tables. These fact tables can be partitioned by date, making the enterprise data warehouse a historical database. You can build indexes to speed up star queries. Oracle recommends that you build local indexes for such historically partitioned tables to avoid rebuilding global indexes every time you drop the oldest partition from the historical database.
D: Moving (Rebuilding) Index-Organized Tables Because index-organized tables are primarily stored in a B-tree index, you can encounter fragmentation as a consequence of incremental updates. However, you can use the ALTER TABLE...MOVE statement to rebuild the index and reduce this fragmentation.