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Update hdinsight-faq.yml
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articles/hdinsight/hdinsight-faq.yml

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1. Recommend setting up HDInsight clusters with a [Custom Ambari DB](./hdinsight-custom-ambari-db.md) to improve the cluster scalability.
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2. Use [Azure Data Lake Storage Gen2](./hdinsight-hadoop-use-data-lake-storage-gen2.md) to create HDInsight clusters to take advantage of higher bandwidth and other performance characteristics of Azure Data Lake Storage Gen2.
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3. Headnodes should be sufficiently large to accommodate multiple master services running on these nodes.
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4. Some specific workloads such as Interactive Query will also need larger Zookeeper nodes. Please consider minimum of 8 core VMs.
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4. Some specific workloads such as Interactive Query will also need larger Zookeeper nodes. Please consider minimum of eight core VMs.
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5. In the case of Hive and Spark, use [External Hive metastore](./hdinsight-use-external-metadata-stores.md).
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- name: Individual Components
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```
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> [!NOTE]
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> Curl will prompt you for a password. You must enter a valid password for the cluster login username.
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> Curl prompts you for a password. You must enter a valid password for the cluster login username.
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- name: Billing
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questions:

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