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NEW QUESTION: 1
This IDS defeating technique works by splitting a datagram (or packet) into multiple fragments and the IDS will not spot the true nature of the fully assembled datagram. The datagram is not reassembled until it reaches its final destination. It would be a processor-intensive task for IDS to reassemble all fragments itself, and on a busy system the packet will slip through the IDS onto the network. What is this technique called?
A. IP Fragmentation or Session Splicing
B. IDS Spoofing or Session Assembly
C. IP Splicing or Packet Reassembly
D. IP Routing or Packet Dropping
Answer: A

NEW QUESTION: 2
Microsoft OneDrive for Businessに保存され、個人を特定できる情報（PII）を含むデータを保持する必要があります。データは7年後に削除する必要があります。
何を作成する必要がありますか？
A. a data loss prevention (DLP) policy
B. A data governance retention policy
C. an Information Rights Management (IRM) policy
D. an Azure Information Protection policy
Answer: B
Explanation:
説明
参照：
https://docs.microsoft.com/en-us/office365/securitycompliance/retention-policies

NEW QUESTION: 3
Refer to the exhibit.

You are bringing a new MPLS router online and have configured only what is shown to bring LDP up. Assume that the peer has been configured in a similar manner. You verify the LDP peer state and see that there are no neighbors. What will the output of show mpls ldp discovery show?
A. Interfaces:
Ethernet0/0 (ldp): xmit/recv
LDP Id: 192.168.12.2:0; no route
B. Interfaces:
Ethernet0/0 (ldp): xmit
C. Interfaces:
Ethernet0/0 (ldp): xmit/recv
LDP Id: 25.25.25.2:0; IP addr: 192.168.12.2
D. Interfaces:
Ethernet0/0 (ldp): xmit/recv
LDP Id: 25.25.25.2:0; no route
Answer: D

NEW QUESTION: 4
Larger image

What is this view referred to as in Tableau?
A. Analytics Pane
B. Data Pane
C. Window Pane
D. Dimensions & Measures
Answer: B
Explanation:
Explanation
Tableau displays data source connections and data fields for the workbook in the Data pane on the left side of the workspace.
The Data pane includes:
Dimension fields - Fields that contain qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view. Examples of dimensions include dates, customer names, and customer segments.
Measure fields - Fields that contain numeric, quantitative values can be measured. You can apply calculations to them and aggregate them. When you drag a measure into the view, Tableau applies an aggregation to that measure (by default). Examples of measures: sales, profit, number of employees, temperature, frequency.
For more information on what dimensions and measures are, see Dimensions and Measures, Blue and Green.
Calculated fields - If your underlying data doesn't include all of the fields you need to answer your questions, you can create new fields in Tableau using calculations and then save them as part of your data source. These fields are called calculated fields.
For more information on calculated fields, see Create Custom Fields with Calculations.
Sets - Subsets of data that you define. Sets are custom fields based on existing dimensions and criteria that you specify. For more information, see Create Sets.
Named sets from an MS Analysis Services server or from a Teradata OLAP connector also appear in Tableau in this area of the Data pane. You can interact with these named sets in the same way you interact with other custom sets in Tableau.
Parameters - Values that can be used as placeholders in formulas, or replace constant values in calculated fields and filters. For more information, see Create Parameters.