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NEW QUESTION: 1
Sie verwenden den Azure-Tabellenspeicher zum Speichern von Kundeninformationen für eine Anwendung. Die Daten enthalten Kundendaten und sind nach Nachnamen unterteilt. Sie müssen eine Abfrage erstellen, die alle Kunden mit dem Nachnamen Smith zurückgibt. Welches Codesegment sollten Sie verwenden?
A. TableQuery.GenerateFilterCondition ("PartitionKey", Equals, "Smith")
B. TableQuery.GenerateFilterCondition ("PartitionKey", QueryComparisons.Equal, "Smith")
C. TableQuery.GenerateFilterCondition ("LastName", QueryComparisons.Equal, "Smith")
D. TableQuery.GenerateFilterCondition ("LastName", Equals, "Smith")
Answer: B
Explanation:
Explanation
Retrieve all entities in a partition. The following code example specifies a filter for entities where 'Smith' is the partition key. This example prints the fields of each entity in the query results to the console.
Construct the query operation for all customer entities where PartitionKey="Smith".
TableQuery<CustomerEntity> query = new
TableQuery<CustomerEntity>().Where(TableQuery.GenerateFilterCondition("PartitionKey", QueryComparisons.Equal, "Smith")); References:
https://docs.microsoft.com/en-us/azure/cosmos-db/table-storage-how-to-use-dotnet
NEW QUESTION: 2
Your company registers a domain name of contoso.com.
You create an Azure DNS named contoso.com and then you add an A record to the zone for a host named www that has an IP address of 131.107.1.10.
You discover that Internet hosts are unable to resolve www.contoso.com to the 131.107.1.10 IP
address.
You need to resolve the name resolution issue.
Solution: You modify the name server at the domain registrar.
Does this meet the goal?
A. No
B. Yes
Answer: A
NEW QUESTION: 3
A telecommunications company has a substantial amount of data. This data is being created by network elements within their environment.
The company wants to change the way the network elements Call Detail Records (CDR) are stored and analyzed. The existing infrastructure consolidates all of the CDRs into a table structure, and then ingests them into a large database. Once ingested, a query engine accesses the database and performs analysis on these files. The system is functional; however, since the amount of CDRs generated will increase exponentially over the next year, the company is open to alternatives for storing and analyzing these records.
In evaluating alternatives, the key requirements are to reduce cost, the amount of storage, and the amount of time to analyze the data. The customer would like to use Hadoop to analyze the CDRs.
After you have conducted an assessment of the workflow, you have recommended an Isilon Cluster to work within the Hadoop environment.
Which protocols would be the best fit when using Isilon for this customer's Hadoop workflow?
A. CIFS and FTP
B. NFS and HDFS
C. NDMP and SCP
D. SyncIQ and HTTP
Answer: B