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NEW QUESTION: 1
HOTSPOT
A company uses SharePoint for document sharing and collaboration. Users create content types for different types of documents that are created daily. All document content types have ProjectID, Type, and AuditStatus columns. ProductID is not a required field. The Auditing department requires that every document have a ProjectID within two weeks of the creation date.
If a document does not have a ProjectID, the AuditStatus column must show a message for users to specify the ProjectID. For performance reasons, fewer than 50 documents at a time should be processed.
You need to write a work-item timer job to meet the requirement.
How should you complete the relevant code? (To answer, select the appropriate option from the drop-down list in the answer area.)
Answer:
Explanation:
NEW QUESTION: 2
You have a dataset that contains 2,000 rows. You are building a machine learning classification model by using Azure Learning Studio. You add a Partition and Sample module to the experiment.
You need to configure the module. You must meet the following requirements:
* Divide the data into subsets
* Assign the rows into folds using a round-robin method
* Allow rows in the dataset to be reused
How should you configure the module? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Use the Split data into partitions option when you want to divide the dataset into subsets of the data. This option is also useful when you want to create a custom number of folds for cross-validation, or to split rows into several groups.
Add the Partition and Sample module to your experiment in Studio (classic), and connect the dataset.
For Partition or sample mode, select Assign to Folds.
Use replacement in the partitioning: Select this option if you want the sampled row to be put back into the pool of rows for potential reuse. As a result, the same row might be assigned to several folds.
If you do not use replacement (the default option), the sampled row is not put back into the pool of rows for potential reuse. As a result, each row can be assigned to only one fold.
Randomized split: Select this option if you want rows to be randomly assigned to folds.
If you do not select this option, rows are assigned to folds using the round-robin method.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample
NEW QUESTION: 3
Which of the following is not a method to protect objects and the data within the objects?
A. Layering
B. Data mining
C. Data hiding
D. Abstraction
Answer: B
Explanation:
Data mining is used to reveal hidden relationships, patterns and trends by running queries on large data stores.
Data mining is the act of collecting and analyzing large quantities of information to determine patterns of use or behavior and use those patterns to form conclusions about past, current, or future behavior. Data mining is typically used by large organizations with large databases of customer or consumer behavior. Retail and credit companies will use data mining to identify buying patterns or trends in geographies, age groups, products, or services. Data mining is essentially the statistical analysis of general information in the absence of specific data.
The following are incorrect answers:
They are incorrect as they all apply to Protecting Objects and the data within them.
Layering, abstraction and data hiding are related concepts that can work together to produce modular software that implements an organizations security policies and is more reliable in operation.
Layering is incorrect. Layering assigns specific functions to each layer and communication between layers is only possible through well-defined interfaces. This helps preclude tampering in violation of security policy. In computer programming, layering is the organization of programming into separate functional components that interact in some sequential and hierarchical way, with each layer usually having an interface only to the layer above it and the layer below it.
Abstraction is incorrect. Abstraction "hides" the particulars of how an object functions or stores information and requires the object to be manipulated through well-defined interfaces that can be designed to enforce security policy. Abstraction involves the removal of characteristics from an entity in order to easily represent its essential properties.
Data hiding is incorrect. Data hiding conceals the details of information storage and manipulation within an object by only exposing well defined interfaces to the information rather than the information itslef. For example, the details of how passwords are stored could be hidden inside a password object with exposed interfaces such as check_password, set_password, etc. When a password needs to be verified, the test password is passed to the check_password method and a boolean (true/false) result is returned to indicate if the password is correct without revealing any details of how/where the real passwords are stored. Data hiding maintains activities at different security levels to separate these levels from each other.
The following reference(s) were used for this question:
Hernandez CISSP, Steven (2012-12-21). Official (ISC)2 Guide to the CISSP CBK, Third
Edition ((ISC)2 Press) (Kindle Locations 27535-27540). Auerbach Publications. Kindle
Edition.
and
Hernandez CISSP, Steven (2012-12-21). Official (ISC)2 Guide to the CISSP CBK, Third
Edition ((ISC)2 Press) (Kindle Locations 4269-4273). Auerbach Publications. Kindle
Edition.
NEW QUESTION: 4
Refer to the exhibit.
Which command must be applied to R2 for an OSPF neighborship to form?
A. network 20.1.1.2.0.0.255.255 area 0
B. network 20.1.1.2 255.255.0.0. area 0
C. network 20.1.1.2 255.255.255 area 0
D. network 20.1.1.2.0.0.0.0 area 0
Answer: D
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