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NEW QUESTION: 1
Which access point mode allows a supported AP to function like a WLAN client would, associating and identifying client connectivity issues?
A. sensor mode
B. client mode
C. sniffer mode
D. SE-connect mode
Answer: A
Explanation:
Explanation
As these wireless networks grow especially in remote facilities where IT professionals may not always be onsite, it becomes even more important to be able to quickly identify and resolve potential connectivity issuesideally before the users complain or notice connectivity degradation. To address these issues we have created Cisco's Wireless Service Assurance and a new AP mode called "sensor"mode. Cisco's Wireless Service Assurance platform has three components, namely, Wireless PerformanceAnalytics, Real-time Client Troubleshooting, and Proactive Health Assessment. Using a supported AP ordedicated sensor the device can actually function much like a WLAN client would associating andidentifying client connectivity issues within the network in real time without requiring an IT or technician to beon site.
Reference:
https://content.cisco.com/chapter.sjs?uri=/searchable/chapter/content/dam/en/us/td/docs/wireless/controller/techn

NEW QUESTION: 2
Which tasks is the session management path responsible for? (Choose three.)
A. Checking TCP sequence numbers
B. Performing route lookup
C. Verifying IP checksums
D. Allocating NAT translations
E. Performing session lookup
F. Checking packets against the access list
Answer: B,D,F
Explanation:
The ASA has to check the packet against access lists and perform other tasks to determine if the packet is allowed or denied. To perform this check, the first packet of the session goes through the " session management path," and depending on the type of traffic, it might also pass through the "control plane path." The session management path is responsible for the following tasks:
+ Performing the access list checks
+ Performing route lookups
+ Allocating NAT translations (xlates)
+ Establishing sessions in the "fast path"
Source: http://www.cisco.com/c/en/us/td/docs/security/asa/asa82/configuration/guide/config/intro.html

NEW QUESTION: 3
You are a database developer and you have about two years experience in creating business Intelligence (BI) by using SQL Server2008.
Now you are employed in a companynamed NaproStar which uses SQL Server2008.
You work as the technical support. Now you are in charge of a SQL Server 2008 Analysis Services (SSAS) database.
A Product dimension is contained in the database. The dimension contains two attributes both of which have a Rigid relationship type.
The two attributes are the Category attribute and Subcategory attribute.
The relationship between the Category and Subcategory values is changed by the data source for the Product dimension.
Now in order to make the dimension successfully reflect the change, you have to execute an XML for Analysis (XMLA) command to process the dimension to perform this.
What action should you perform?
A. In order to achieve this goal, the ProcessClear and the ProcessDefault commands should be used.
B. In order to achieve this goal, the ProcessIndexes command should be used
C. In order to achieve this goal, the ProcessAdd command should be used
D. In order to achieve this goal, the ProcessUpdate command should be used
Answer: A
Explanation:
ProcessFull ProcessFull applies to all objects. It discards the storage contents of the object and
and rebuilds them. ProcessFull is recursively applied to all descendants of the object as well.
ProcessClear ProcessClear applies to all objects. It discards the storage contents of the object.
ProcessClear is recursively applied to all descendants of the object as well.
ProcessDefault ProcessDefault applies to all objects. It does the bare minimum required to bring
the object to a fully processed state. In other words, it builds only the storage contents that are not
currently built. For example, if a partition has fact and aggregation data, then ProcessDefault will
only build the bitmap indexes.
The only exception to the above rule is bindings. When you change the bindings of an object (e.g.,
KeyColumns of a dimension attribute), the object retains its data, but remembers that thebindings
have changed. ProcessDefault on the object will discard all the storage contents and rebuild them.
The server handles ProcessDefault by analyzing the object and dynamically converting it to
another processing option such as ProcessFull, ProcessIndexes, etc. ProcessDefault is
recursively applied to all descendants of the object as well.
ProcessData applies only to the OLAP objects, i.e. dimension, cube, measure group and partition.
It discards the storage contents of the object and rebuilds only the "data". For dimensions, it builds
only the attribute and hierarchy stores. For partitions, it builds only the fact data.
Essentially ProcessData builds the bare minimum required for the object to be available for
queries. Indexes are considered optional and affect only the query performance. ProcessData is
recursively applied to all descendants of the object as well.
ProcessIndexes applies only to the OLAP objects, i.e., dimension, cube, measure group, and
partition. It requires that the object must already have its "data" built; otherwise, it raises an error.
ProcessIndexes preserves the data and rebuilds the "indexes". For dimensions, it builds the
bitmap indexes. For partitions, it builds the aggregation data and bitmap indexes. ProcessIndexes
is recursively applied to all descendants of the object as well.
ProcessUpdate applies only to dimensions. It is the equivalent of incremental dimension
processing in Analysis Services 2000. It sends SQL queries to read the entire dimension table and
applies the changes-- member updates, additions, deletions.
Since ProcessUpdate reads the entire dimension table, it begs the question, "How is it different
from ProcessFull?" The difference is that ProcessUpdate does not discard the dimension storage
contents. It applies the changes in a "smart" manner that preserves the fact data in dependent
partitions. ProcessFull, on the other hand, does an implicit ProcessClear on all dependent
partitions. ProcessUpdate is inherently slower than ProcessFull since it is doing additional work to
apply the changes.
Depending on the nature of the changes in the dimension table, ProcessUpdate can affect
dependent partitions. If only new members were added, then the partitions are not affected. But if
members were deleted or if member relationships changed (e.g., a Customer moved from
Redmond to Seattle), then some of the aggregation data and bitmap indexes on the partitions are
dropped. The cube is still available for queries, albeit with lower performance.
ProcessAdd applies only to dimensions and partitions.
ProcessAdd is a new processing option for dimensions that did not exist in Analysis Services
2000. It essentially optimizes ProcessUpdate for the scenario where only new members areadded.
ProcessAdd never deletes or updates existing members. It only adds new members. The user can
restrict the dimension table so that ProcessAdd reads only the new rows.
ProcessAdd for partitions is the equivalent of incremental partition processing in Analysis Services
2000. The user typically specifies an alternate fact table or a filter condition pointing to the new
rows. ProcessAdd internally creates a temporary partition, processes it with the specified fact data,
and merges it into the target partition.
See the Out of Line Bindings section for details on how to specify the new rows for ProcessAdd.
ProcessStructure applies only to cubes and mining structures.
ProcessStructure for cubes is the equivalent of the Analysis Services 2000 processing option,
processBuildStructure, in DSO. It discards the storage contents of the cube and its partitions. It
implicitly does a
ProcessDefault on all dimensions of the cube and marks the cube as processed. At this point, the
cube is available to queries but it will not return any fact data. This is supported mostly for
backward-compatibility reasons. It was useful in Analysis Services 2000 for parallel processing
utilities. Once the "structure" of a cube is processed, its partitions can be processed in parallel by
multiple client sessions without running into locking conflicts.
ProcessStructure on a mining structure discards its storage contents (training data) and rebuilds
them. It does not affect the contents of the mining models under the mining structure.
ProcessScriptCache ProcessScriptCache applies only to cubes. The MDX script in a cube can
contain CACHE statements. ProcessScriptCache evaluates the script and persists the results for
the CACHE statements. ProcessClearStructureOnly ProcessClearStructureOnly applies only
mining structures. It clears the storage contents (training data) of the mining structure while
preserving the contents of its mining models.


NEW QUESTION: 4
미디어 회사는 시스템을 AWS 클라우드로 옮길 가능성을 평가하고 있습니다. 회사는 비디오 처리를 위해 가능한 최대 I / O 성능을 갖춘 최소 10TB의 스토리지가 필요합니다. 미디어 콘텐츠를 저장하기 위한 300TB의 내구성이 뛰어난 스토리지, 더 이상 사용하지 않는 보관 미디어의 요구 사항을 충족하는 900TB의 스토리지.
솔루션 아키텍트가 이러한 요구 사항을 충족시키기 위해 어떤 서비스 세트를 추천해야 합니까?
A. 최대 성능을 위한 Amazon EBS, 내구성 있는 데이터 스토리지를 위한 Amazon S3 및 보관 스토리지를 위한 Amazon S3 Glacier
B. 최대 성능을 위한 Amazon EBS. 내구성 있는 데이터 스토리지를 위한 Amazon EFS 및 보관 스토리지를 위한 Amazon S3 Glacier
C. 최대 성능을 위한 Amazon EC2 인스턴스 스토어, 내구성 있는 데이터 스토리지를 위한 Amazon EFS 및 보관 스토리지를 위한 Amazon S3
D. 최대 성능을 위한 Amazon EC2 인스턴스 스토어, 내구성 있는 데이터 스토리지를 위한 Amazon S3 및 보관 스토리지를 위한 Amazon S3 Glacier
Answer: A

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