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Backflow Prevention Device Test Report Division Contact Info Steve Miller or Lindley Paynter Office 919-249-3427 Fax 919-367-7280 Town of Apex Work Order REQUIRED ONLY COMPLETED PASSING RESULTS SHALL BE ACCEPTED Public Works Utilities Department - 105 Upchurch Street Apex NC 27502 - CrossConnection apexnc.org Environmental Programs - Cross Connection Control Program To be submitted by the REGISTERED / APPROVED TOWN TESTER. This test report form SHALL be conducted by a CERTIFIED TESTER under Town of Apex Cross Connection Ordinance Municipal Code Chapter 12-156 through 166. In addition the Town requires a BUILDING PERMIT and a NON-SEWER WATER METER to be obtained before any Backflow Prevention installations begin* All test s reports shall beCOMPLETED IN FULL and submitted to the information on the letter head before OPERATION and CERTIFICATE of OCCUPANCY. Facility Name Property Owner Name City Owner Email Zip Code Facility Address Number of Water Meters Onsite Town of Apex Water Meter Ac....

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How to fill out the Backflow Test Report Pdf online

Filling out the Backflow Test Report Pdf online is an essential step in ensuring the compliance and safety of backflow prevention devices. This guide will walk you through each component of the form, ensuring you complete it accurately and efficiently.

Follow the steps to successfully complete your Backflow Test Report Pdf.

  1. Click 'Get Form' button to obtain the form and open it in your preferred editor.
  2. Begin by entering the Town of Apex Work Order number in the designated field. This information is required for processing your report.
  3. Fill in the facility name, property owner name, and contact information including phone number, address, zip code, and email in the respective fields.
  4. Indicate the facility address and the number of water meters onsite. Additionally, provide the Town of Apex Water Meter Account numbers, which can be found on any water bill payments made by the owner.
  5. Specify whether the backflow prevention device is a fire backflow preventive detector assembly by selecting ‘Yes’ or ‘No’.
  6. Complete the required building permit number field for all new installations and replacements.
  7. Enter details about the tester, including tester business name, address, certification number, test kit manufacturer, model number, and serial number. Ensure all fields are accurately filled out.
  8. Provide information for the assembly including, but not limited to, the assembly serial number, calibration expiry date, and installation date.
  9. Document test results by indicating the pressure differential across check valves, static inlet line pressure, and any remarks that may be necessary.
  10. If any repairs were made, complete the sections indicating the repairs and retest results. Be sure to answer all applicable fields regarding the condition and results of the device.
  11. Finally, review the form for accuracy, then save changes, download, print, or share the completed form as necessary.

Get started on your Backflow Test Report Pdf online today!

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Feature columns these are nothing but the bridge between the raw data and the model or estimator. These are very rich, enabling us for transforming and diversify the range of raw data into the formats that the models or estimators can use, allowing easy experimentation.

Categorical classification is used where you have data that falls into one of many categories - an example of this would be classifying food - e.g. “hot dog”, “pizza”, “fries” etc… You can find the example notebook(s) for this post in the tensorflow-tutorial GitHub repo.

In machine learning, a feature is data that's used as the input for ML models to make predictions. Raw data is rarely in a format that is consumable by an ML model, so it needs to be transformed into features. This process is called feature engineering.

Feature columns are used to specify how Tensors received from the input function should be combined and transformed before entering the model.

Each feature, or column, represents a measurable piece of data that can be used for analysis: Name, Age, Sex, Fare, and so on. Features are also sometimes referred to as “variables” or “attributes.” Depending on what you're trying to analyze, the features you include in your dataset can vary widely.

Feature types Examples of numerical features include age, height, weight, and income. Numerical features can be used in machine learning algorithms directly. Categorical features are discrete values that can be grouped into categories. Examples of categorical features include gender, color, and zip code.

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© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232
Form Packages
Adoption
Bankruptcy
Contractors
Divorce
Home Sales
Employment
Identity Theft
Incorporation
Landlord Tenant
Living Trust
Name Change
Personal Planning
Small Business
Wills & Estates
Packages A-Z
Form Categories
Affidavits
Bankruptcy
Bill of Sale
Corporate - LLC
Divorce
Employment
Identity Theft
Internet Technology
Landlord Tenant
Living Wills
Name Change
Power of Attorney
Real Estate
Small Estates
Wills
All Forms
Forms A-Z
Form Library
Customer Service
Terms of Service
Privacy Notice
Legal Hub
Content Takedown Policy
Bug Bounty Program
About Us
Blog
Affiliates
Contact Us
Delete My Account
Site Map
Industries
Forms in Spanish
Localized Forms
State-specific Forms
Forms Kit
Legal Guides
Real Estate Handbook
All Guides
Prepared for You
Notarize
Incorporation services
Our Customers
For Consumers
For Small Business
For Attorneys
Our Sites
US Legal Forms
USLegal
FormsPass
pdfFiller
signNow
airSlate WorkFlow
DocHub
Instapage
Social Media
Call us now toll free:
+1 833 426 79 33
As seen in:
  • USA Today logo picture
  • CBC News logo picture
  • LA Times logo picture
  • The Washington Post logo picture
  • AP logo picture
  • Forbes logo picture
© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232