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NEW QUESTION: 1
Which is the proper syntax for referencing a variable's value in an Ansible task?
A. "{{ variable_name }}"
B. { variable_name }
C. @variable_name
D. ${variable_name}
Answer: A
Explanation:
We use the variable's name to reference the variable which we encapsulate in curly brackets
`{{ }}'; however, the YAML syntax dictates that a string beginning with a curly bracket denotes a dictionary value. To get around this it's proper to wrap the variable declaration in quotes.
Reference: http://docs.ansible.com/ansible/playbooks_variables.html#hey-wait-a-yaml-gotcha
NEW QUESTION: 2
You have data stored in thousands of CSV files in Azure Data Lake Storage Gen2. Each file has a header row followed by a property formatted carriage return (/r) and line feed (/n).
You are implementing a pattern that batch loads the files daily into an Azure SQL data warehouse by using PolyBase.
You need to skip the header row when you import the files into the data warehouse.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Which three actions you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
Step 1: Create an external data source and set the First_Row option.
Creates an External File Format object defining external data stored in Hadoop, Azure Blob Storage, or Azure Data Lake Store. Creating an external file format is a prerequisite for creating an External Table.
FIRST_ROW = First_row_int
Specifies the row number that is read first in all files during a PolyBase load. This parameter can take values
1-15. If the value is set to two, the first row in every file (header row) is skipped when the data is loaded.
Rows are skipped based on the existence of row terminators (/r/n, /r, /n).
Step 2: Create an external data source that uses the abfs location
The hadoop-azure module provides support for the Azure Data Lake Storage Gen2 storage layer through the
"abfs" connector
Step 3: Use CREATE EXTERNAL TABLE AS SELECT (CETAS) and create a view that removes the empty row.
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-external-file-format-transact-sql
https://hadoop.apache.org/docs/r3.2.0/hadoop-azure/abfs.html
NEW QUESTION: 3
VM1、VM2、およびVM3という名前の3つの仮想マシンを含むAS1という名前の可用性セットがあります。
より大きなサイズを使用するようにVM1を再構成しようとしました。操作が失敗し、割り当て失敗のメッセージが表示されます。
サイズ変更操作が成功することを確認する必要があります。
どの3つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation:
Action 1: Stop VM1, VM2 and VM3
If the VM you wish to resize is part of an availability set, then you must stop all VMs in the availability set before changing the size of any VM in the availability set. The reason all VMs in the availability set must be stopped before performing the resize operation to a size that requires different hardware is that all running VMs in the availability set must be using the same physical hardware cluster. Therefore, if a change of physical hardware cluster is required to change the VM size then all VMs must be first stopped and then restarted one-by-one to a different physical hardware clusters.
Action 2: Resize VM1
Action 3: Start VM1, VM2, and VM3
References:
https://azure.microsoft.com/es-es/blog/resize-virtual-machines/