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NEW QUESTION: 1

A. Heartbeat Datastores
B. Power Management
C. Admission Control
D. VM Startup/Shutdown
Answer: A,C

NEW QUESTION: 2
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
* Serve as a repository (or high volumes of large files in various formats.
* Implement optimized storage for big data analytics workloads.
* Ensure that data can be organized using a hierarchical structure.
Batch processing:
* Use a managed solution for in-memory computation processing.
* Natively support Scala, Python, and R programming languages.
* Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
* Support parallel processing.
* Use columnar storage.
* Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is

NEW QUESTION: 3
DRAG DROP
You are developing a website that has many web pages with hyperlinks to other sites.
You need to ensure that if a hyperlink contains an image, the linked web page opens in a new window.
Which jQuery code segment or segments should you use? (To answer, drag the appropriate line of code to the correct location. Each line of code may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.) Select and Place:

Answer:
Explanation:

Explanation/Reference:
Explanation:
* a img
All elements that are descendants of an element.
* (this).parent
This is the element and is the parent.

NEW QUESTION: 4
Ihr Unternehmen verfügt über Computer, auf denen Windows 10 ausgeführt wird und denen Microsoft Azure Active Directory (Azure AD) beigetreten ist.
Das Unternehmen erwirbt ein Azure-Abonnement.
Sie müssen Windows-Ereignisse von den Windows 10-Computern in Azure sammeln. Die Lösung muss es Ihnen ermöglichen, Warnmeldungen basierend auf dem erfassten Ereignis zu erstellen.
Was müssen Sie in Azure erstellen und was müssen Sie auf den Computern konfigurieren? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.

Answer:
Explanation: