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NEW QUESTION: 1
AzureでホストされているLinux仮想マシン（VM）に新しいアプリケーションをデプロイすることを計画しています。
業界標準の暗号化テクノロジーを使用してVM全体を保護し、組織のセキュリティとコンプライアンスの要件に対応する必要があります。
VMのAzureDiskEncryptionを構成する必要があります。
Azure Cliコマンドをどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: keyvault
Create an Azure Key Vault with az keyvault create and enable the Key Vault for use with disk encryption. Specify a unique Key Vault name for keyvault_name as follows:
keyvault_name=myvaultname$RANDOM
az keyvault create \
--name $keyvault_name \
--resource-group $resourcegroup \
--location eastus \
--enabled-for-disk-encryption True
Box 2: keyvault key
The Azure platform needs to be granted access to request the cryptographic keys when the VM boots to decrypt the virtual disks. Create a cryptographic key in your Key Vault with az keyvault key create. The following example creates a key named myKey:
az keyvault key create \
--vault-name $keyvault_name \
--name myKey \
--protection software
Box 3: vm
Create a VM with az vm create. Only certain marketplace images support disk encryption. The following example creates a VM named myVM using an Ubuntu 16.04 LTS image:
az vm create \
--resource-group $resourcegroup \
--name myVM \
--image Canonical:UbuntuServer:16.04-LTS:latest \
--admin-username azureuser \
--generate-ssh-keys \
Box 4: vm encryption
Encrypt your VM with az vm encryption enable:
az vm encryption enable \
--resource-group $resourcegroup \
--name myVM \
--disk-encryption-keyvault $keyvault_name \
--key-encryption-key myKey \
--volume-type all
Note: seems to an error in the question. Should have enable instead of create.
Box 5: all
Encrypt both data and operating system.
References:
https://docs.microsoft.com/bs-latn-ba/azure/virtual-machines/linux/encrypt-disks
NEW QUESTION: 2
DRAG DROP
A table named Table1 a cluster columnstore index. The table contains over bilion records.
The represents 12 years of sales data. The table is stored in a single filegroup.
You drop the existing columnstore index. You allocate 13 filegroup with files large enough to store the entire table.
You need to implement a new columnstore index that support maximum data compression for data older than 2 years.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area arrange in the correct order.
Answer:
Explanation:
NEW QUESTION: 3
Your bank requires that you send prenotes (zero dollar transactions) to the bank to verify data.
You need to set up the cash and back management module to allow the creation of prenotes.
Which two actions should you perform? Each correct answer presents part of the solution.
A. Set "Allow copies of payments" in the Cash and bank management parameters to Yes.
B. Set "Activate prenotes" in the Bank accounts to Yes.
C. Set "Allow prenote creation on inactive bank accounts" in the Cash and bank management parameters to Yes.
D. Set "Prenotes" required in the Bank accounts to Yes.
Answer: A,B
NEW QUESTION: 4
A. salting
B. trimming
C. padding
D. hashing
Answer: A,D
Explanation:
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