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	<title>AI-102: Azure AI Engineer Archives - Cloud Tech</title>
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		<title>AI-102 Questions 1-10: Generative AI Solutions with Microsoft Foundry</title>
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		<pubDate>Sat, 04 Jul 2026 21:45:02 +0000</pubDate>
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		<category><![CDATA[Azure AI Engineer]]></category>
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		<category><![CDATA[RAG]]></category>
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					<description><![CDATA[Practice 10 AI-102 generative AI solutions questions covering RAG, hybrid search, content safety, and Foundry Agent Service.]]></description>
		
		
		
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		<title>AI-102 Questions 11-20: Computer Vision Solutions</title>
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		<dc:creator><![CDATA[Cloud Tech]]></dc:creator>
		<pubDate>Sat, 04 Jul 2026 21:45:19 +0000</pubDate>
				<category><![CDATA[AI-102: Azure AI Engineer]]></category>
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		<category><![CDATA[Azure AI Engineer]]></category>
		<category><![CDATA[Azure Vision]]></category>
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					<description><![CDATA[Practice 10 AI-102 computer vision solutions questions covering Azure Vision, Custom Vision, Video Indexer, and Content Understanding.]]></description>
		
		
		
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		<title>AI-102 Questions 21-30: Language and Speech Solutions</title>
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		<pubDate>Wed, 08 Jul 2026 01:25:22 +0000</pubDate>
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					<description><![CDATA[Practice 10 AI-102 language solutions questions covering Azure AI Language, Speech, Voice Live API, and Foundry Agent Service.]]></description>
		
		
		
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		<title>AI-102 Questions 31-40: Knowledge Mining Solutions</title>
		<link>https://cloudtech.how/microsoft/ai-102/ai-102-questions-31-40-knowledge-mining-solutions/</link>
		
		<dc:creator><![CDATA[Cloud Tech]]></dc:creator>
		<pubDate>Wed, 08 Jul 2026 02:06:15 +0000</pubDate>
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					<description><![CDATA[Retrieval-augmented generation has pushed hybrid search adoption hard this year. Enterprises building RAG pipelines increasingly pair vector search with full-text search and semantic ranking. They no longer treat either technique alone as good enough to ground large language model answers in real company data. That shift is exactly why AI-102 knowledge mining solutions skills matter [&#8230;]]]></description>
		
		
		
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