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  • Vendor : Amazon
  • Certifications : AWS Certified Data Analytics
  • Exam Name : AWS Certified Data Analytics - Specialty (DAS-C01) Exam
  • Exam Code : AWS-Certified-Data-Analytics-Specialty
  • Total Questions : 376 Q&As
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VCE Exam Simulator is a test engine designed specifically for certification exam preparation. It allows you to create, edit, and take practice tests in an environment very similar to an actual exam.
SKU: AWS-Certified-Data-Analytics-Specialty Categories: ,

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    B. Append ref argument as
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    D. By default, Terraform will clone and use the default branch (referenced by HEAD) in the selected repository and you can not override this.
    Answer: C
    Explanation:
    Explanation
    By default, Terraform will clone and use the default branch (referenced by HEAD) in the selected repository.
    You can override this using the ref argument:
    module "vpc" {
    source = "git::https://example.com/vpc.git?ref=v1.2.0"
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    https://www.terraform.io/docs/modules/sources.html

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    B. This router has sent the first packet to establish the Flex VPN tunnel
    C. The tunnel is not functional because NAT-T is not configured.
    D. Identity between endpoints is verified using a certificate authority
    Answer: D

    NEW QUESTION: 3
    Scale1という名前の仮想マシンスケールセットを作成します。 Scale1は、次の展示に示すように構成されています。

    ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
    注:それぞれの正しい選択には1ポイントの価値があります。

    Answer:
    Explanation:

    Explanation:
    Box 1:
    The Autoscale scale out rule increases the number of VMs by 2 if the CPU threshold is 80% or higher. The initial instance count is 4 and rises to 6 when the 2 extra instances of VMs are added.
    Box 2:
    The Autoscale scale in rule decreases the number of VMs by 4 if the CPU threshold is 30% or lower. The initial instance count is 4 and thus cannot be reduced to 0 as the minimum instances is set to 2. Instances are only added when the CPU threshold reaches 80%.
    References:
    https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-overview
    https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices
    https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-common-scale-patterns


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