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NEW QUESTION: 1
DRAG DROP
You develop a website for a company by using HTML5.
You have the following requirements:
Allow multiple news postings per page under the title "Welcome to the Semantic Web!".
Search engines must be able to index individual news postings.
News postings must be styled by using the following CSS markup:
.posting { line-height: 150%; )
You need to structure the markup for each individual news posting.
How should you complete the relevant markup? (To answer, drag the appropriate markup to the correct location or
locations in the answer area. Use only markup that applies.)
Answer:
Explanation:
* The <article> element specifies independent, self-contained content.
Examples of where an <article> element can be used:
Forum post
Blog post
Newspaper article
* The <header> element specifies a header for a document or section.
* when declaring the div element we must refer to CSS style named posting with a class="posting" attribute.
Reference: HTML5 Semantic Elements
NEW QUESTION: 2
A. Option B
B. Option D
C. Option C
D. Option A
Answer: B
NEW QUESTION: 3
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: 4
A. Option B
B. Option C
C. Option D
D. Option A
Answer: D