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NEW QUESTION: 1
Refer to the exhibit.
A network administrator checks this adjacency table on a router. What is a possible cause for the incomplete marking?
A. incomplete ARP information
B. serial link congestion
C. dynamic routing protocol failure
D. incorrect ACL
Answer: A
Explanation:
Explanation/Reference:
Explanation:
To display information about the Cisco Express Forwarding adjacency table or the hardware Layer 3- switching adjacency table, use the show adjacency command.
Reasons for Incomplete Adjacencies
There are two known reasons for an incomplete adjacency:
The router cannot use ARP successfully for the next-hop interface.
After a clear ip arp or a clear adjacency command, the router marks the adjacency as incomplete. Then
it fails to clear the entry.
In an MPLS environment, IP CEF should be enabeled for Label Switching. Interface level command ip
route-cache cef
No ARP Entry
When CEF cannot locate a valid adjacency for a destination prefix, it punts the packets to the CPU for ARP resolution and, in turn, for completion of the adjacency.
Reference: http://www.cisco.com/c/en/us/support/docs/ip/express-forwarding-cef/17812-cef- incomp.html#t4
NEW QUESTION: 2
An organization has three separate AWS accounts, one each for development, testing, and production.
The organization wants the testing team to have access to certain AWS resources in the production account. How can the organization achieve this?
A. Create the IAM users with cross account access.
B. It is not possible to access resources of one account with another account.
C. Create the IAM user in a test account, and allow it access to the production environment with the IAM policy.
D. Create the IAM roles with cross account access.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
An organization has multiple AWS accounts to isolate a development environment from a testing or production environment. At times the users from one account need to access resources in the other account, such as promoting an update from the development environment to the production environment.
In this case the IAM role with cross account access will provide a solution. Cross account access lets one account share access to their resources with users in the other AWS accounts.
Reference: http://media.amazonwebservices.com/AWS_Security_Best_Practices.pdf
NEW QUESTION: 3
You set the value of dfs.block.size to 64MB in hdfs-site.xml on a client machine, but you set the same property to 128MB on your clusters name node. What happens when the client writes a file to HDFS?
A. A block size of 128MB will be used
B. A block size of 64MB will be used
C. An execution will be thrown when the client attempts to write the file, because the values are different.
D. The file will be written successfully with a block size of 64MB but client attempting to read the file will fail because the namenode believes the blocks to be 128MB in size
Answer: B
Explanation:
* The configuration parameter "dfs.block.size" defined within hdfs-site.xml on name node and data node is completely ignored when files are created using client utility. Client side hdfs-site.xml has the highest precedence over all others.
*When files are created using MapReduce The parameter "dfs.block.size" is defined in "hdfs-site.xml" and can have different values between name node and data nodes. Remember that "dfs.block.size" is client specific and has no effect on NN or DN. The only time NN or DN configuration comes into play is when files are created using MapReduce.
*The configuration parameter "dfs.block.size" is used if defined at multiple levels with different
values. These levels are defined
as:
/ Master - When properties are defined at name node / master node level
/ Slave - When properties are defined at data node / slave node level
/ Client - There are two type of commands that can be submitted by client
Note:
o A client utility like "hadoop fs -put"
o A MapReduce job submitted by the client
* dfs.block.size
The default block size for new files, in bytes.
Reference: CONFIGURATION PARAMETERS DFS.BLOCK.SIZE
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