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NEW QUESTION: 1
DRAG DROP
You are troubleshooting performance issues on a remote Windows 7 client computer named PC01.
A process on PC01 is consuming a large amount of memory. You are unable to connect to the computer via the Remote Desktop Connection utility.
You need to establish if the process is running as part of a windows service.
Which two actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.) Select and Place:
Answer:
Explanation:
NEW QUESTION: 2
展示を参照してください。
エンジニアは、ルーターの新しいペアを冗長構成で設置しています。ハードウェア障害が発生したときにトラフィックが中断されないようにするプロトコルはどれですか。
A. VRRP
B. HSRPv1
C. HSRPv2
D. GLBP
Answer: D
NEW QUESTION: 3
You are designing a solution that will use Apache HBase on Microsoft Azure HDInsight.
You need to design the row keys for the database to ensure that client traffic is directed over all of the nodes in the cluster.
What are two possible techniques that you can use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. padding
B. hashing
C. salting
D. trimming
Answer: B,C
Explanation:
Explanation/Reference:
Explanation:
There are two strategies that you can use to avoid hotspotting:
* Hashing keys
To spread write and insert activity across the cluster, you can randomize sequentially generated keys by hashing the keys, inverting the byte order. Note that these strategies come with trade-offs. Hashing keys, for example, makes table scans for key subranges inefficient, since the subrange is spread across the cluster.
* Salting keys
Instead of hashing the key, you can salt the key by prepending a few bytes of the hash of the key to the actual key.
Note. Salted Apache HBase tables with pre-split is a proven effective HBase solution to provide uniform workload distribution across RegionServers and prevent hot spots during bulk writes. In this design, a row key is made with a logical key plus salt at the beginning. One way of generating salt is by calculating n (number of regions) modulo on the hash code of the logical row key (date, etc).
Reference:
https://blog.cloudera.com/blog/2015/06/how-to-scan-salted-apache-hbase-tables-with-region-specific-key- ranges-in-mapreduce/
http://maprdocs.mapr.com/51/MapR-DB/designing_row_keys_for_mapr_db_binary_tables.html
NEW QUESTION: 4
Drag and Drop Question
You develop an IoT solution by using Node.js. The solution is ready to deploy to the production environment.
You must implement the device twin capabilities of Azure IoT Hub. You must register a sensor named Sensor00. The IoT Hub name is Hub01.
You need to register the endpoint with ContosoHub01 so that you can configure them from your solution.
Which four commands should you use to develop the solution? To answer, move the appropriate commands from the list of commands to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: az extension add --name azure-cli-iot-ext
Run the following command in the command-line environment where you are using the Azure CLI to install the IoT extension:
az extension add --name azure-cli-iot-ext
Step 2: az iot hub device-identity create
--hub-name {Hub01}
--device-id Sensor00
Create a new device identity called myDeviceId and retrieve the device connection string with these commands:
az iot hub device-identity create --device-id myDeviceId --hub-name {Your IoT Hub name} az iot hub device-identity show-connection-string --device-id myDeviceId --hub-name {Your IoT Hub name} -o table Step 3: az iot hub device-identity show-connection-string
--hub-name {Hub01}
--device-id Sensor00
--output table
Step 4:
Create the service app
In this section, you create a Node.js console app that adds location metadata to the device twin.
npm install azure-iothub --save
References:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-node-node-twin-getstarted