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NEW QUESTION: 1
You have created a table which is long enough to flow over two pages of your document. What will you do to duplicate the data in the first row on the second page?
A. Insert your cursor in the first row of the table and choose Table > Convert Rows > To Header
B. Insert your cursor in the first row of the table and select all data; then press the Tab key
C. Select the rows and Choose Table > Convert Rows > To Body.
D. Choose Table > Table Options > Headers
Answer: A
Explanation:
InDesign provides header rows as a feature that automatically repeats the necessary rows whenever the table splits across columns, frames, or pages. Therefore, to duplicate the data in the first row on the second page, insert your cursor in the first row of the table and choose Table > Convert Rows > To Header.

NEW QUESTION: 2
Identity four pieces of cluster information that are stored on disk on the NameNode?
A. An edit log of changes that have been made since the last snapshot compaction by the Secondary NameNode.
B. An edit log of changes that have been made since the last snapshot of the NameNode.
C. The status of the heartbeats of each DataNode.
D. The directory structure of the filesin HDFS.
E. File permissions of the files in HDFS.
F. A catalog of DataNodes and the blocks that are stored on them.
G. Names of the files in HDFS.
Answer: A,C,D,G
Explanation:
B:An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients.
The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes.
The NameNode maintains the file system namespace. Any change to the file system namespace or its properties is recorded by the NameNode. An application can specify the number of replicas of a file that should be maintained by HDFS. The number of copies of a file is called the replication factor of that file. This information is stored by the NameNode. C:The NameNode is the centerpiece of an HDFS file system. It keeps the directory tree of all files in the file system, and tracks where across the cluster the file data is kept. It does not store the data of these files itself
E:The NameNode uses a transaction log called the EditLog to persistently record every change that occurs to file system metadata.
The SecondaryNameNode periodically compacts the EditLog into a "checkpoint;" the EditLog is then cleared.
G:When NameNode notices that it has not recieved a hearbeat message from a data node after a certain amount of time, the data node is marked as dead.
Note:The NameNode is the centerpiece of an HDFS file system. It keeps the directory tree of all files in the file system, and tracks where across the cluster the file data is kept. It does not store the data of these files itself. There is only One NameNode process run on any hadoop cluster. NameNode runs on its own JVM process. In a typical production cluster its run on a separate machine. The NameNode is a Single Point of Failure for the HDFS Cluster. When the NameNode goes down, the file system goes offline. Client applications talk to the NameNode whenever they wish to locate a file, or when they want to add/copy/move/delete a file. The NameNode responds the successful requests by returning a list of relevant DataNode servers where the data lives.

NEW QUESTION: 3
A company operates a group of imaging satellites. The satellites stream data to one of the company's ground stations where processing creates about 5 GB of images per minute. This data is added to network-attached storage, where 2 PB of data are already stored.
The company runs a website that allows its customers to access and purchase the images over the Internet.
This website is also running in the ground station. Usage analysis shows that customers are most likely to access images that have been captured in the last 24 hours.
The company would like to migrate the image storage and distribution system to AWS to reduce costs and increase the number of customers that can be served.
Which AWS architecture and migration strategy will meet these requirements?
A. Use multiple Snowball appliances to migrate the existing images to Amazon S3. Upload new data by regularly using Snowball appliances to upload data from the network-attached storage. Migrate the data distribution website to EC2 instances. By using Amazon S3 as an origin, have this website serve the data through CloudFront by creating signed URLs.
B. Use multiple AWS Snowball appliances to migrate the existing imagery to Amazon S3. Create a 1-Gb AWS Direct Connect connection from the ground station to AWS, and upload new data to Amazon S3 through the Direct Connect connection. Migrate the data distribution website to Amazon EC2 instances.
By using Amazon S3 as an origin, have this website serve the data through Amazon CloudFront by creating signed URLs.
C. Use multiple Snowball appliances to migrate the existing images to an Amazon EFS file system. Create a 1-Gb Direct Connect connection from the ground station to AWS, and upload new data by mounting the EFS file system over the Direct Connect connection. Migrate the data distribution website to EC2 instances. By using webservers in EC2 that mount the EFS file system as the origin, have this website serve the data through CloudFront by creating signed URLs.
D. Create a 1-Gb Direct Connect connection from the ground station to AWS. Use the AWS Command Line Interface to copy the existing data and upload new data to Amazon S3 over the Direct Connect connection. Migrate the data distribution website to EC2 instances. By using Amazon S3 as an origin, have this website serve the data through CloudFront by creating signed URLs.
Answer: D

NEW QUESTION: 4
CitrixエンジニアがvDiskのリバースイメージを作成する必要がある更新プログラムはどれですか？
A. Anti-virus software
B. OS service pack
C. Target device software
D. Hypervisor tools
Answer: C